Anthony Hayter, Ph.D.

Full Professor

Department of Business Information and Analytics

Daniels College o f Business

University of Denver

Email: abpi46@r.postjobfree.com

Telephone: 303-***-****

Degrees

Ph.D., 1985, Cornell University, Statistics,

M.Sc., 1984, Cornell University, Statistics,

M.A., 1986, Cambridge University, Mathematics,

B.A., 1982, Cambridge Univers ity, Mathematics (triple first class).

Employment

Full Professor, Department of Business Information and Analytics,

Daniels College of Business, University of Denver, 2010- present.

Department Chair and Full Professor, Depa rtment of Statistics and Operations Technology,

Daniels College of Business, University of Denver, 2006- 2010.

Associate Professor, School of Industrial and Systems Engineering,

Georgia Institute of Technology, 1991- 2006.

Visiting Assistant P rofessor, Department of Sta tistics,

Ohio State University, 1991.

Lecturer, Department of Mathematical Sciences,

University of Bath, United Kingdom, 1987 - 1990.

Resume Anthony Hayter

Expert Witness in Statistical Analysis and Mathematics

Dr. Hayter provides expertise in the areas of statistical analysis, econometrics, a nd

mathematics for businesses, law firms, insurance companies, government departments,

educational institutions, and non- profits. He works for both plaintiff and defense

attorneys. He has been admitted as an expert witness in the areas of statistics and

mathematics in courts in t he United States. With excellent quantitative, technical and

communication skills, Dr. Hayter provides balanced, objective, and impartial analyses

with expert reports and trial testimony.

Experience

Dr. Hayter has worked on a wide range of topics including insurance claims, alleged

e mployee discrimination cases, accounting audits, environmental regulations, customer

profiling, business performances and losses, product surveys, q uality management, online

marketing, design and analysis of pollution studies, national security studies, workforce

analyses, highway construction, alleged damages from employee fraud, tax assessments,

real estate appraisals, pricing analyses, marketing research, and analysis of brand

damages.

Expertise

Dr. Hayter s e xpertise includes all areas of probability and statistics, sampling,

regression, extrapolation, data analysis and collection, statistical significance, hypothesis

testing, p- values, prediction, estimation, forecasting, risk analysis, surveys, modeling,

quality control, data mining, and experimental design.

Qualifications

Degrees from Cambridge University and Cornell University.

Rank of full professor in a business school (former department chair).

Over 65 refereed publications.

Author of a textbook on probabilit y and statistics, now in the 4th edition, adopted

worldwide.

Over 25 years of university teaching, with top level student evaluations.

Excellent quantitative, technical, and communication skills.

Cons ulting clients

ADA Environmental Solutions, Alta Colleges, Association of Veterinary Practice

Management Consultants and Advisors, Avaya Business Communications, Coca Cola,

Cooper Industries, CVS Pharmacy, Department o f Defense, EchoStar Satellite

Corporation, First Data, FNF Construction, Freeport- McMoRan Mining Company,

Georgia Department of Transportation, Hartford Insurance, Huber Corporation,

Location3 Media, Metro Wastewater Reclamation District, Oracle, Quiznos, The Kroger

Company.

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Resume Anthony Hayter

Keynote Speaker

Keynote Speaker at the Annual Meeting of the Thailand Operations Research Society,

Thailand, 2010. Business Analytics in the Global Arena.

Keynote Speaker at the Osaka Meeting of the Japanese Society for Quality Control on

Quality Management and Global Competition, Japan, 2009. The Importance of Quality

Management and Quantitative Skills in Global Business.

Keynote Speaker at the International Conference on Recent Advances in Statistics,

Institute of Mathematical Statistics, Tokyo, Japan, 2000. A Probability Analysis of the

Playoff System in Sumo Tournaments.

Keynote Speaker at the German Biometric Society Meeting, 1998. Advances in

Simultaneous Inference Techniques.

Published Textbook

Probability and Statistics for Engineers and Scientists

1st edition, PWS, 1996,

2nd edition, Duxbury, 2002,

3rd edition, Brooks- Cole, 2006.

4th edition, Brooks- Cole, 2012.

Table of Contents of my Textbook:

Probability Theory

Random Variables

D iscrete Probability Distributions

Continuous Probability Distributions

The Normal Distribution

Descriptive Statistics

Statistical Estimation and Sampling Distributions

Inference on a Population Mean

Comparing Two Population Means

Discrete Data Analysis

The Analysis of Variance

Simple Linear Regression and Correlation

Multiple Linear Regression and Nonlinear Regression

Multifactor Experimental Design and Analysis

Nonparametric Statistical Analysis

Quality Control Methods

Reliability Analysis and Life Testing

Case Studies : Microelectronic Solder Joints a nd Internet Marketing

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Resume Anthony Hayter

Panelist

Panelist at Symposium on Business Information and Business Analytics for Logistics

Professionals, Council of Supply Chain Management Professionals, Bangkok, Thailand,

2011.

Panelist on How to Attain Quality Excellence by Statistical and Related

Methodologies, 7th Asian Network for Quality Congress, Tokyo, Japan, 2009.

Panelist at Corporate Counsel Conference on Employment Litigation Issues, Las Vegas,

2007.

International Activities

Fulbright Foreign Scholarship Award, 2011 - 2012. To assist government a nd businesses

with s urveys and data a nalysis in Thailand. Hosted by the School of Business,

Chulalongkorn University.

Visiting Professor, Graduate School of Business Sciences, University of Tsukuba, Japan,

2008- 2012. Delivered courses o n Business Analytics in the Global Arena to

International MBA students.

External Examiner for the MBA program, Universiti Tunku Abdul Rahman, Malaysia,

2011- 2012.

Visiting Professor, Nagoya University of Comme rce and Business, Japan, 2010- 2012.

Delivered MBA course on Quality Control.

Visiting Researcher, S ingapore Manage ment University, Department of Economics,

2011.

Visiting Researcher, Chinese University of Hong Kong, Department of Statistics, 2011.

International Planning Committee Member, Kent State International Symposium on

Green and Sustainable Supply Chains, 2011.

Visiting Researcher, Institute of Statistical Mathematics, Tokyo, Japan, 1996, 1999- 2000,

2008 and 2010. S upported by grants from the Japanese Ministry of Education.

Visiting Researcher, Chulalongkorn University, Bangkok, Thailand, 2010.

Goodwill Ambassador, City of Okayama, Japan, 2009 - present.

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Resume Anthony Hayter

Accompanied EMBA students on a study trip to Dubai, 2009.

Program Committee Member of the First Indian Institute of Management Ahmedabad

International Conference on Advanced Data Analysis, Business Analytics, and

Intelligence, India, 2009.

Organizing Committee Chair for the First International Symposium of Case Studies

Involving Statistics and Operation Research for Decision Making: Solv ing Human

Problems in Business, Society and Scientific Areas, Tokyo, Japan, 2009.

Invited Session Organizer, 4th World Conference of the International Association for

Statistical Computing, Yokohama, 2008.

Organizing Committee Member for the 5th International Multiple Comparisons

Conference, Vienna, Austria, 2007.

Visiting Researcher, University of Southampton and London School of Economics, UK,

2004. Supported by a grant from the British Engineering and Physical Sciences Research

Council.

Visiting Researcher, National Institute for Agro - Environmental Sciences, Tsukuba,

Japan, 1998. Supported by a grant from the Japanese Ministry of Education.

Research and Teaching Interests

Quantitative skills, b usiness intelligence and analytics, s tatistics, probability, data

analysis, s urvey sampling, quality control, experimental design, management science,

operations management.

Courses Taught Undergraduate Level

Business Statistics

Statistics and Applications

Probability Theory and Applicat ions

Introduction to Statistical Methods

Design of Experiments

Quality Control

Stochastic Processes

Mathematical Theory of Statistics

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Resume Anthony Hayter

Courses Taught Graduate Level (Masters, MBA, PMBA, EMBA,

Ph.D. level)

Quantitative Analytical Skills

Business Statistics

Ethics and Leadership

Statistical Multiplicity and High- Dimensional Computation

Statistical Modeling and the Design of Experiments

Probability and Statistics

Nonparametric Data Analysis

Linear Regression Analysis

Categorical Data Analysis

Topics in Nonlinear Regression

Advanced Experimental Design

Mathematical Theory of Statistics

Advanced Linear Models

Survival Analysis and Reliability Theory

Other Teaching Activities

Presentation on Statistical Process Control to the Kroger Company, 2007.

Invited contributor to the Video Library, Institute of Statistical Mathematics, Tokyo,

Multiple Comparisons and Nonlinear Dose Response Analysis, 2000.

Invited contributor to the Video Library, Radiation Effects Research Foundation,

Hiroshima, Japan, An Overview of Simultaneous Inference Procedures, 1999.

Invited contributor to the Video Library, Institute of Statistical Mathematics, Tokyo,

Topics in Directional Inference, 1998.

Refereed Publications

(66) Kwong, K. S., Cheung, S. H., Hayter, A. J. and Wen, M., Extension of three- arm

non- inferiority studies to trials with multiple new treatments, to appear in Statistics in

Medicine, 2012.

(65) Hayter, A. J., Win- probabilities for regression models, to appear in Statistical

Met hodology, 2012.

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(64) K iatsupaibul, S. and Hayter, A. J., Dimensional reduction for latent scores

modeling using recursive integration, to appear in t he Journal of Statistical Theory and

Practice, 2012.

(63) Hayter, A. J., Confidence bands for the re liability function of a two parameter

exponential model, to appear in t he Journal of Quality Technology, 2012.

(62) Hayter, A. J. a nd Lin, Y., The evaluation of trivariate normal probabilities defined

by linear inequalities, to appear in Journal of Statistical Computation and Simulation,

2012.

(61) Hayter, A. J. and Lin, Y., The evaluation of two- sided orthant probabilities for a

quadrivariate normal distribution, to appear in Computational Statistics, 2012.

(60) Hayter, A. J., K iatsupaibul, S., Liu, W., and Wynn, H., An independence point

method of confidence band construction for multiple linear regression models, to appear

in Communications in Statistics, Theory and Methods, 2012.

(59) Hayter, A. J., Recursive integration methodologies with applications to the

evaluation of multivariate normal probabilities, Journal of Statistical Theory and

Practice, 5, 4, 563- 589, 2011.

(58) Tamhane, A. C. and Hayter, A. J., Selecting the normal population with the

s mallest coefficient of variation, American Journal of Mathematical and Management

Sciences, 29, 1 & 2, 31- 50, 2009.

(57) Liu, W., Bretz, F., Hayter, A. J. and Wynn, H. P., Assessing non- superiority, non-

inferiority or equivalence when comparing two regression models ove r a restricted

covariate region, Biometrics, 65, 4, 1279- 1287, 2009.

(56) Hayter, A. J., Liu, W. and Ah- Kine, P. A ray method of confidence band

construction for multiple linear regression models, Journal of Statistical Planning and

Inference, 139, 2, 329- 334, 2009.

(55) Liu, W., Hayter, A. J., Piegorsch, W. W. a nd Ah- Kine, P., Comparison of

hyperbolic and constant width s imult aneous confidence bands in multiple linear

regression under MVCS criterion, Journal of Multivariate Analysis, 100, 1432- 1439,

2009.

(54) Hayter, A. J., Kim, J. and Liu, W., Critical point computations for one - sided and

two- sided pairwise comparisons of three treatment means, Computational Statistics and

Data Analysis, 53, 463- 470, 2008.

(53) Lin, C. and Hayter, A. J., A stepdown procedure with feedback for identifying

inferiority among three treatments, Biometrical Journal, 50, 5, 884- 896, 2008.

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Resume Anthony Hayter

(52) Kim, J. and Hayter, A. J., Testing the equality of the non- centrality parameters of

two non- central t- distributions with identical degrees of freedom, Communications in

Statistics, Simulation and Computation, 37 (9): 1709- 1717, 2008.

(51) Liu, W., Hayter, A. J. and Wynn, H., Statistical inferences for linear regression

models when the covariates have functiona l relationships: polynomial regression,

Journal of Statistical Computation and Simulation, 78, 4, 315- 324, 2008.

(50) Kim, J. and Hayter, A. J., Efficient confidence interval methodologies for the non-

centrality parameter of a non- central t- distributio n, Communication in Statistics,

Simulation and Computation, 37 (4), 660- 678, 2008.

(49) Liu, W. and Hayter, A. J., Minimum area confidence set optimality for confidence

bands in simple linear regression, Journal of the American Statistical Association, 102,

477, 181- 190, 2007.

(48) Liu, W., Hayter, A. J. and Wynn, H., Operability region equivalence: simultaneous

confidence bands for the equivalence of two regression models over restricted regions,

Biometrical Journal, 49, 1, 144- 150, 2007.

(47) Hayter, A. J., A combination multiple comparisons and subset selection procedure

to identify treatments strictly inferior to the best, Journal of Statistical Planning and

Inference, 137, 7, 2115- 2126, 2007.

(46) Hayter, A. J., Liu, W. and Wynn, H., Eas y- to- construct confidence bands for

comparing two simple linear regression lines, Journal of Statistical Planning and

Inference, 137, 1213- 1225, 2007.

(45) Ganesh, S., Hayter, A.J., Kim, J., Sanford, J., Sprigle, S. and Hoenig, H.,

Wheelchair use by ve terans newly prescribed a manual wheelchair, Archives of

Physical Medicine and Rehabilitation, 88, 4, 434- 439, 2007.

(44) Hayter, A. J., Wynn, H. and Liu, W., Slope modified confidence bands for a

s imple linear regression model, Statistical Methodology, 3, 186- 192, 2006.

(43) Bath, S. K., Hayter, A. J., Cairns, D. A. and Anderson, C., Characterization of

home range using point peeling algorithms, Journal of Wildlife Management, 70(2),

422- 434, 2006.

(42) Hayter, A. J., Recursive integration methodologies with applications, Journal of

Statistical Planning and Inference, 136, 2284- 2296, 2006.

(41) Tamhane, A. C. and Hayter, A. J., Comparing variances of several measurement

methods using a randomized block design with repeat measurements: a case study,

Advances in Ranking and Selection, Multiple Comparisons and Reliability, Birkhauser,

165- 178, 2005.

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Resume Anthony Hayter

(40) Miwa, T., Hayter, A. J. and Kuriki, S., The evaluation of general non- centered

orthant probabilities, Journal of the Royal Statistical Society, Series B, 65, 223- 234,

2003.

(39) Hayter, A. J., A probability analysis of the playoff system in sumo tournaments,

Recent Advances in Statistical Research and Data Analysis, Springer - Verlag, 2002.

(38) Kuriki, S., Shimodaira, H. and Hayter, A. J., On the isotonic range statistic for

testing against an ordered alternative, Journal of Statistical Planning and Inference,

105(2), 347- 362, 2002.

(37) Koyama, N. and Hayter, A. J., One- stage and two- stage designs for clinical trials

using an indifference zone approach, Communications in Statistics, Simulation and

Computation, 32, 1, 2002.

(36) Bretz, F., Hayter, A. J. and Genz, A., Critical point and power calculations for the

studentised range tes t for generally correlated means, Journal of Statistical Computation

and Simulation, 71, 85- 97, 2001.

(35) Hayter, A. J., Miwa, T., and Liu, W., Efficient directional inference methodologies

for the comparisons of three ordered treatment effects, Journal of the Japanese

Statistical Society, 31, 2, 153- 174, 2001.

(34) Sommerville, P., Miwa, T., Liu, W. and Hayter, A. J., Combining one - sided and

two- sided confidence interval procedures for successive comparisons of ordered

treatment effects, Biometrical Journal, 43, 5, 533- 542, 2001.

(33) Liu, W. and Hayter, A. J., Selecting and sharpening inferences in simultaneous

inference via a Bayesian approach, Communications in Statistics, Theory and Methods,

30, 135- 145, 2001.

(32) Liu, W., Miwa, T. and Hayter, A. J., Simultaneous confidence interval estimation

for successive comparisons of ordered treatment effects, Journal of Statistical Planning

and Inference, vol. 88, 1, 75- 86, 2000.

(31) Hayter, A. J., Miwa, T. and Liu, W., Combining the advantages of one - sided and

two- sided test procedures for comparing several treatments with a control, Journal of

Statistical Planning and Inference, vol. 86, 1, 81- 99, 2000.

(30) Miwa, T., Hayter, A. J. and Liu, W., Calculation of level probabilities for normal

random variables with unequal variances with applications to Bartholomew s test in

unbalanced one- way models, Computational Statistics and Data Analysis, vol. 34, 1, 17-

32, 2000.

(29) Hayter, A. J., Multivariate quality control procedures, Statistical Process

Monitoring and Optimization, Marcel Dekker, Inc., 209 - 222, 1999.

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(28) Miwa, T. and Hayter, A. J., Combining the advantages of one - sided and two- sided

test procedures for comparing several treatment effects, Journal of the American

Statistical Association, vol. 94, 445, 302- 307, 1999.

(27) Hayter, A. J. and Liu, W., A test for testing against an umbrella alternative and the

associated simultaneous confidence intervals, Computational Statistics and Data

Analysis, vol. 30, 393- 401, 1999.

(26) Goldsman, D., Hayter, A. J. and Kastner, T., Multinomial selection procedures

with elimination, Advances in Statistical Decision Theory and Applications, 265 - 274,

1997.

(25) Hayter, A. J. and Liu, W., A note on the calculation of some order probabilities,

The American Statistician, vol. 50, 4, 1996.

(24) Hayter, A. J. and Chen, V. C. P., Sensitivity analysis of upper confidence bounds

on the range of treatment effects, Journal of Computational Statistics and Data

Analysis, vol. 23, 257- 262, 1996.

(23) Hayter, A. J. and Liu, W., Exact calculations for the one - sided studentized range

test for testing against a simple ordered alternative, Journal of Computational Statistics

and Data Analysis, vol. 22, 17- 25, 1996.

(22) Hayter, A. J. and Tsui, K., Identification and quantification in multivariate quality

control problems, Journal of Quality Technology, vol. 26, no. 3, 197- 208, 1994.

(21) Hayter, A. J., On the selection probabilities of two - stage decision procedures,

Journal of Statistical Planning and Inference, vol. 38, 223- 236, 1994.

(20) Hayter, A. J. and Hsu, J. C., On the relationship between stepwise decision

procedures a nd confidence sets, Journal of the American Statistical Association, vol. 89,

425, 128- 136, 1994.

(19) Hayter, A. J. and Dowling, M., Experimental designs and emission rate modeling

for chamber experiments, Atmospheric Environment, vol. 27A, no. 14, 2225- 2234, 1993.

(18) Bofinger, E., Hayter, A. J. and Liu, W., The construction of upper confidence

bounds on the range of several location parameters, Journal of the American Statistical

Association, vol. 88, no. 423, 906- 911, 1993.

(17) Hirotsu, C., Kuriki, S., and Hayter, A. J., The multiple comparison procedure

based on the maximal component of the cumulative chi- squared statistic, Biometrika,

vol. 79, 381- 392, 1992.

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(16) Hayter, A. J. and Hurn, M., Power comparisons for tests of the equali ty of several

normal means, Journal of Statistical Computation and Simulation, vol. 42, no. 3- 4, 173-

185, 1992.

(15) Hayter, A. J. and Liu, W., A method of power assessment for tests comparing

several treatments with a control, Communications in Stat istics, Theory and Methods,

vol. 21, no. 7, 1871- 1889, 1992.

(14) Hayter, A. J. and Liu, W., Some minimax test procedures for comparing several

normal means, Multiple Comparisons in Biostatistics: Current Research in the Topics of

C.W. Dunnett, Marce l Dekker, Inc., 137- 148, 1992.

(13) Santner, T. J. and Hayter, A. J., The least favorable configuration of a two - stage

procedure for selecting the largest normal mean, Multiple Comparisons in Biostatistics:

Current Research in the Topics of C.W. Dunnet t, Marcel Dekker, Inc., 247- 265, 1992.

(12) Hayter, A. J., Multiple comparisons of three ordered normal means for unbalanced

models, Journal of Computational Statistics and Data Analysis, vol.13, 153- 162, 1992.

(11) Hayter, A. J. and Stone, G., Distribution free multiple comparisons for

monotonically ordered treatment effects, Australian Journal of Statistics, vol. 33, no. 3,

345- 346, 1991.

(10) Bechhofer, R. E., Hayter, A. J. and Tamhane, A. C., Optimal sa mple size

a llocation for selecting the best of several normal populations with known unequal

variances, Journal of Statistical Planning and Inference, vol. 28, 271- 289, 1991.

(9) Hayter, A. J. and Tamhane, A. C., Sample size determination for step - down

multiple comparison procedures: orthogonal contrasts and comparisons with a control,

Journal of Statistical Planning and Inference, vol. 27, 271- 290, 1991.

(8) Hayter, A. J., A one- sided studentized range test for testing against ordered

a lternatives, Journal of the American Statistical Association, vol. 85, 778- 785, 1990.

(7) Hayter, A. J. and Liu, W., Power assessment for tests of the equality of several

proportions, Communications in Statistics, Theory and Methods, vol. 19, no. 1, 19- 30,

1990.

(6) Hayter, A. J. and Liu, W., The power function of the Studentized range test, The

Annals of Statistics, vol. 18, no. 1, 465- 468, 1990.

(5) Hirotsu, C., Kuriki, S., and Hayter, A. J., The multiple comparison procedure based

on the maximal component of the cumulative chi- squared statistic- calculation of

s ignificance probability and its application to dose levels, Japanese Journal of Applied

Statistics, 18, 129- 142, 1989.

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Resume Anthony Hayter

(4) Hayter, A. J., Selecting the largest mean when the variances are u nequal,

Communications in Statistics, Theory and Methods, vol. 18, no. 4, 1455- 1468, 1989.

(3) Hayter, A. J., Pairwise comparisons of generally correlated means, Journal of the

American Statistical Association, vol. 85, 208- 213, 1989.

(2) Hayter, A. J., The maximum familywise error rate of Fisher's least significant

difference test, Journal of the American Statistical Association, vol. 81, 1000- 1004,

1986.

(1) Hayter, A. J., A proof of the conjecture that the Tukey- Kramer multiple

comparisons procedure is conservative, The Annals of Statistics, vol. 12, 61- 75, 1984.

Book Review

Hayter, A. J., Book review of Constrained Statistical Inference: Inequality, Order, and

Shape Restrictions, by M. J. Silvapulle and P. K. Sen, Biometrics, 2005.

Other Publications

(39) Kuriki, S., Miwa, T. and Hayter, A. J., Abstract tubes associated with perturbed

polyhedrons with applications to multidimensional normal probability computations,

Proceedings of the Conference on Harmony of Grob ner Bases and the Modern Industrial

Society, Japan, 2011.

(38) Hayter, A. J., Recursive integration methodologies with statistical applications,

Proceedings of the Conference on Computational Algebraic Statistics, Theories and

Applications, Kyoto, Japan, 2008.

(37) Lin, C. and Hayter, A. J., A stepdown procedure with feedback for identifying

inferiority among three treatments, Proceedings of the Conference on Probability and

Statistics, Kyushuu University, Japan, 2008.

(36) Hayter, A. J., Lin, C. and K im, P., Recent advances in identifying inferior

treatments in clinical trials and inferences on non- central t- distributions, Proceedings of

the Conference on Several Problems on Statistical Inference, Hokkaido, Japan, 2007.

(35) Hayter, A. J., Wynn, H. and Liu, W., Slope modified confidence bands for a

s imple linear regression model, Proceedings of the Conference on Statistical Theory,

Kagoshima, Japan, 2005.

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Resume Anthony Hayter

(34) Miwa, T., Hayter, A. J. and Kuriki, S., The evaluation of singular orthant

probabilities, Proceedings of the Joint Meeting of the Japanese Statistical Societies,

Hiroshima, Japan, 2005.

(33) Miwa, T., Hayter, A. J. and Kuriki, S., The dissection of polyhedral cones and its

application to the evaluation of multi- normal probabilities, Proceedings of the 54th

Session of the International Statistical Institute, 2003.

(32) Hayter, A. J. Evaluating high dimensional probability expressions using recursive

integration, Proceedings of the Yokohama University Statistics Colloquium, 2003.

(31) Hayter, A. J. The evaluation of multivariate normal probabilities, Proceedings of

the Chiba University Workshop on Computational Statistics, 2002.

(30) Miwa, T., Hayter, A. J. and Kuriki, S., The efficient calculation of non- centered

orthant p robabilities, Proceedings of the 69th Annual Meeting of the Japan Statistical

Society, 2001.

(29) Miwa, T., and Hayter, A. J., Combining the advantages of one - sided and two sided

procedures for environmental risk assessment. Proceedings of the I nternational

Conference on Statistical Challenges in Environmental Health Problems, 2001.

(28) Miwa, T., Hayter, A. J. and Kuriki, S., The calculation of non- centered orthant

probabilities, Proceeding of the 53rd Session of the International Statisti cs Institute,

Korea, 2001.

(27) Miwa, T., Hayter, A. J. and Kuriki, S., Efficient computation of high dimensional

integral expressions, Proceedings of the 15th Annual Meeting of the Japanese Society of

Computational Statistics, Okayama, 2001.

(26) M iwa, T., Hayter, A. J. and Kuriki, S., Simultaneous inference, recursive

integration and the evaluation of multivariate normal probabilities, Proceedings of the

3rd Hakata Symposium on Statistics, Fukuoka, 2000.

(25) Miwa, T., Hayter, A. J. and Kuriki, S., The evaluation of multivariate normal

probabilities, Proceedings of the Annual Conference of the Japan Society of Applied

Statistics, Kobe, 2000.

(24) Miwa, T., Hayter, A. J. and Kuriki, S., Recursive integration techniques and cone

dissections, Proceedings of the Symposium on New Developments in Multivariate

Analysis and Asymptotic Theory, Hiroshima, 2000.

(23) Hayter, A. J., Some probability calculation concerning the playoff system in sumo

tournaments, Proceedings of the Institute of Stat istical Mathematics Symposium, Tokyo,

2000.

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Resume Anthony Hayter

(22) Hayter, A. J. and Miwa, T., Multiple comparisons for non- linear dose response

models, Proceedings of the Annual Meeting of the Japanese Statistical Society, Sapporo,

Japan, 2000.

(21) Miwa, T. and Hayter, A. J., The general procedure for combining one - sided and

two- sided confidence intervals of the means of correlated normal random variables,

Proceedings of the Institute of Statistical Mathematics Symposium, Tokyo, 2000.

(20) Miwa, T. and Hayter, A. J., The null distribution of Bartholomew s test in

unbalanced models, Proceedings of the 7th Japan- China Symposium on Statistics,

Tokyo, 2000.

(19) Miwa, T., Hayter, A. J. and Liu, W., Calculation of Bartholomew s tests for

ordered alternatives in unbalanced one- way models, Proceedings of the 20th

International Biometric Conference, San Francisco, 2000.

(18) Hayter, A. J., Miwa, T. and Liu, W., Combining the advantages of one - sided and

two- sided multiple comparison procedures, Proceedings of the 2 nd International

Conference on Multiple Comparisons, Berlin, Germany, 2000.

(17) Miwa, T., Hayter, A. J. and Liu, W., Exact calculations of the level probabilities in

the unbalanced one- way models with applications to Bartholomew s test, Proceedings o f

the 2nd International Conference on Multiple Comparisons, Berlin, Germany, 2000.

(16) Hayter, A. J. and Miwa, T., General procedure for combining the advantages of

one- sided and two- sided confidence intervals in comparisons between ordered

treatments, Proceedings of the East Asia Statistics Meeting, Tokyo, 2000.

(15) Miwa, T. and Hayter, A. J., Analysis of non- linear dose response models,

Proceedings of the Conference on Non- Linear Modeling, Matsuyama, Japan, 2000.

(14) Hayter, A. J., Miwa, T. a nd Liu, W., Combining one- sided and two- sided

s imultaneous confidence intervals for comparisons against a control, Proceedings of the

International Statistics Institute Bi- annual Meeting, Helsinki, Finland, 1999.

(13) Hayter, A. J., Miwa, T. and Liu, W., Combining one- sided and two- sided inference

procedures, Proceedings of the Annual Conference of the Japanese Applied Statistics

and Biometric Society, Tokyo, 1999.

(12) Miwa, T., Hayter, A. J. and Liu, W., Calculation of level probabilities for normal

random variables with unequal variances, Proceedings of the 13th Annual Meeting of

the Japanese Computational Statistics Society, Hyogo, Japan, 1999.

(11) Miwa, T. and Hayter, A. J., Combining one- sided and two- sided confidence

intervals for ordered treatments, Proceedings of the XIXth International Biometric

Conference, Cape Town, South Africa, 1998.

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Resume Anthony Hayter

(10) Miwa, T. and Hayter, A. J., Combining directional inference procedures for all

pairwise comparisons of treatment effects, Proceedings of t he Annual Conference of the

Japanese Applied Statistics and Biometric Society, Tokyo, 1998.

(9) Hayter, A. J., Miwa, T. and Liu, W., One- sided and two- sided combinations for

comparisons with a control, Proceedings of the Conference on Statistical Testi ng,

Kumamoto, Japan, 1998.

(8) Kuriki, S., Shimodaira, H. and Hayter, A. J., The isotonic range statistic,

Proceedings of the Conference on Statistical Modeling, Osaka, Japan, 1998.

(7) Miwa, T. and Hayter, A. J., Bartholomew s test in unbalanced set tings,

Proceedings of the Annual Conference of the Japanese Statistical Society, 1998.

(6) Miwa, T. and Hayter, A. J., Combining one- sided and two- sided effects for pairwise

comparisons of means, Proceedings of the Annual Conference of the Japanese St atistical

Society, 1998.

(5) Hayter, A. J., On the pairwise comparisons of means, Proceedings of the

Conference on Statistical Inference, Tokyo, 1997.

(4) Hayter, A. J., Recent Advances in Multivariate Quality Control Procedures,

International Conference on Quality, Yokohama, 1996, 1017 - 1020.

(3) Hayter, A. J. and Bush, H. M., Nonparametric multivariate quality control

procedures, International Conference on Statistical Methods and Statistical Computing

for Quality and Productivity Improveme nt, Seoul, 1995, 225- 235.

(2) Hayter, A. J. and Chen, V. C. P., Upper confidence bounds on the range of

treatment effects, Statistics in Industry, Science & Technology, Tokyo, 1994, 340 - 345.

(1) Hayter, A. J. and Turnbull, B. W., A forward stochastic approximation procedure for

scheduling sacrifices in tumorigenicity studies, Proceedings of the Biopharmaceutical

Section, Annual meeting of the American Statistical Association, 126 - 131, 1985.

Other Conference Presentations

(30) Hayter, A.J., Credit Risk Rating Evaluations in Thailand, Conference on Building

Partnerships in South East Asia: Opportunities and Challenges for the U.S., Vietnam,

2012.

(29) Liu, W., Bretz, F., Hayter, A.J., and Glimm, E., Simultaneous inference for several

quantiles of a normal population with applications, M ultiple Comparisons Procedures

Conference, Washington D.C., 2011.

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(28) Hayter, A.J., Using data to make good management decisions, XVII International

Symposium on Mathematical Methods Applied to t he Sciences, San Jose, Costa Rica,

2010.

(27) Hayter, A.J., Choosing the right statistical methodology, Makarere University

Business School 14th Annual International Management Conference, Kampala, Uganda,

2009.

(26) Hayter, A.J., Using data to make good management decisions, International

Conference on Advanced Data Analysis, Business Analytics, and Intelligence,

Ahmedabad, India, 2009.

(25) Liu, W., Bretz, F., Hayter, A.J., Jamshidian, M., Wynn, H.P. and Zhang, Y.

Simultaneous confidence bands for regression analysis, International Conference on

Multiple Comparisons Procedures, Japan, 2009.

(24) Liu, W., Bretz, F., Hayter, A.J., Jamshidian, M., Wynn, H.P. and Zhang, Y.

Simultaneous confidence bands for regression analysis, Novartis, Switzer land, 2008.

(23) Lin, C. and Hayter, A. J., A stepdown procedure with feedback for identifying

inferiority among three treatments, 4th World Conference of the International

Association for Statistical Computing, Yokohama, 2008.

(22) Hayter, A. J. a nd Lin, C., Recent advances in identifying inferior treatments in

c linical trials, East Asia Regional Biometric Conference, Tokyo, 2007.

(21) Liu, W. and Hayter, A.J., Minimum area confidence set optimality for confidence

bands in simple linear regression, 5th International Conference on Multiple

Comparisons, 2007.

(20) Ganesh, S., Hayter, A. J., Kim, J., Sanford, J., Sprigle, S. and Hoenig, H., Manual

wheelchair use by community dwelling and institutionalized veterans, Conference of the

American Geriatrics Society, 2006.

(19) Ganesh, S., Hayter, A. J., Kim, J., Sanford, J., Sprigle, S. and Hoenig, H., Manual

wheelchair use by community dwelling and institutionalized veterans, Conference of the

American Academy of Physical Medicine and Rehabil itation, 2005.

(18) Liu, W., Hayter, A. J. and Wynn, H., Recent advances in confidence band

construction and inferences, Multiple Comparisons Procedures Conference, Shanghai,

2005.

(17) Miwa, T., Hayter, A. J. and Kuriki, S., T he evaluation of norma l orthant

probabilities with singular correlation matrices, Multiple Comparisons Procedures

Conference, Shanghai, 2005.

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(16) Miwa, T., Hayter, A. J. and Kuriki, S., The efficient evaluation of multi-

dimensional normal distribution functions, Annual Mee ting of the American Statistical

Association, 2002.

(15) Miwa, T., Hayter, A. J. and Kuriki, S., The efficient evaluation of multi-

dimensional normal distribution functions, Multiple Comparisons Meeting, 2002.

(14) Hayter, A. J., Miwa, T. and Liu, W., Combining the advantages of one- sided and

two- sided procedures for comparing treatments with a control, Statistical Conference,

Ohio State University, 1999.

(13) Hayter, A. J., Recent advances in combining directional inferences, German

Biometric Society Annual Meeting, 1998.

(12) Hayter, A. J., On the pairwise comparisons of treatment effects, Keynote Lecture,

German Biometric Society Annual Meeting, 1998.

(11) Hayter, A. J., Power functions of permutation invariant test procedures,

Interna tional Conference on Combinatorics and Statistical Sciences, Tokyo, 1998.

(10) Hayter, A. J., On the pairwise comparisons of means, Conference on Statistical

Inference, Tokyo, 1997.

(9) Hayter, A. J., Recent advances in multivariate quality control, International

Conference on Multivariate Data, Hiroshima, 1997.

(8) Hayter, A. J. and Dowling, M., Experimental designs and emission rate modeling

for chamber experiments, 6th International Environmetrics Conference, Kuala Lumpur,

1995.

(7) Hayter, A. J. and Liu, W., Exact calculations for the one - sided studentized range test

for testing against a simple ordered alternative, American Statistical Association Annual

Meeting, Orlando, 1995.

(6) Hayter, A. J., On the selection probabilities o f two- stage decision procedures,

Conference on Multiple Decision Theory and Related Topics, Purdue University, 1995.

(5) Hayter, A. J. and Chen, V.C.P., Assessing the Equivalence of Several Treatment

Means, Research Conference on Statistics in Indus try and Technology, Institute of

Mathematical Statistics, Chapel Hill, 1994.

(4) Hayter, A. J. and Tsui, K., Identification and quantification in multivariate quality

control problems, 11th Annual Quality and Productivity Research Conference,

Rochester, 1994.

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Resume Anthony Hayter

(3) Hayter, A. J., Identification and quantification in quality control, American

Statistical Association Winter Meeting, Atlanta, 1994.

(2) Hayter, A. J., The construction of upper confidence bounds on the range of several

location parameters, American Statistical Association Annual Meeting, San Francisco,

1993.

(1) Hayter, A. J., The conservative nature of the studentized range multiple

comparisons procedure, Aarhus University, Denmark, 1989.

Professional and Corporate Relations

Site Review Team Member at the National Institutes of Health. Review of scientific

procedures and management of the Division of Epidemiology, Statistics and Prevention

Research at the National Institute of Child Health and Human Development, 2008.

Workshop for business leaders on The Importance of Statistical and Quantitative

Analytical Skills in Business and Management Today - how they can help you if you

have them, or hurt you if you don't have them.

Module 1 Using Data Effectively

Module 2 The Data Analyst s Toolbox Extracting Information from Data

Module 3 Building Models for Understanding and Prediction

Module 4 W hat can Probability Theory do for You?

Module 5 Ethical Considerations in Probability and Statistics.

Five week Executive M BA class on Quantitative Analytical Skills.

Editorial and Review Work for Journals

Associate Editor of the Annals of the Institute of Statistical Mathematics, 2002 - present.

Associate Editor of the Journal of the Japanese Statistical Society, 2001- 2008.

Associate Editor of the Journal of Statistical Computation and Simulation, 1997 - 2001.

Referee work for the following journals:

Annals of Statistics, Applied Statistics, Biometrical Journal, Biometrics, Biometrika,

Canadian Journal of Statistics, Communications in Statistics, IIE Transactions,

Computational Statistics and Data Analysis, Journal of Quality Technology, Journal of

Statistical Computation and Simulation, Journal of Statistical Planning and Inference,

Journal of Statistical Theory and Practice, Journal of the American Statistical

Page 18 o f 28

Resume Anthony Hayter

Association, Journal of the Royal Statistical Society, Psychometrics, Technometrics,

Scandinavian Journal of Statistics, Statistics and Decisions, Statistics and Probability

Letters, Journal of Applied Mathematics and Decision Sciences, Statistics in Medicine.

Invited Seminars and Presentations

(78) National Institute of Development Administration, Thailand, The Importance of

Business Analytics for Management Today, 2012.

(77) Khon Kaen University, Thailand, Select ing Statistical Methodologies for Business

Research, 2012.

(76) Sasin Graduate Institute of Business Administration, Thailand, Modelling

Financial Credit Scores, 2012.

(75) Mahidol University International College, Thailand, Data Analytics and Business

Information in the Global Arena, 2012.

(74) Yuan Ze University, Taiwan, The Importance of Statistical and Quantitative

Analytical Skills in Business and Management Today, 2011.

(73) Universiti Tunku Abdul Rahman, Malaysia, Examples of Quantitative Analyses in

Business Decision Making, 2011.

(72) S ingapore Management University, Topics in Statistical Inference: Confidence

bands for regression models and recursive integration methodologies, 2011.

(71) I nstitute of Statis tical Mathematics, Tokyo, The Application of Data Oriented

Approaches for B usiness, Workshop on Data- centric Human and Social Informatics,

Tokyo, Japan, 2011.

(70) Chulalongkorn University, Thailand, Recent Advances in Confidence Band

Construction for Regression Lines, 2010.

(69) Ritsumeikan Asia Pacific University, Oita, Japan, The Importance of Quantitative

Skills in Business Decision Making, 2010.

(68) Chulalongkorn University, Thailand, The Importance of Quantitative Skills in

Business Decision Making, 2009.

(67) Thammasat University, Thailand, How to use Data from CMMI to make Better

Decisions, 2009.

Page 19 o f 28

Resume Anthony Hayter

(66) Sophia University, Japan, The Importance of Q uantitative Skills in Business

Decision Making, 2009.

(65) India Institute of Technology, Mumbai, Topics in Inferential Statistics, 2009.

(64) Santa Clara University, The Challenges Facing Business Schools, 2009.

(63) Adelphi University, The C hallenges Facing Business Schools, 2008.

(62) Osaka Institute of Technology, Using Data for Better Decision Making, 2008.

(61) Moffitt Cancer Center & Research Institute, University of South Florida, Recent

Advances in Inferior Treatments in C linical Trials, 2008.

(60) National Statistics Center of Japan, Comparisons of Statistical Use Around the

World, 2007.

(59) Tsukuba University Business School, Japan, The Importance of Statistical and

Quantitative Analytical Skills in Business and Management Today, 2007.

(58) Sophia University, Japan, Statistical analysis of rolling mills in the steel industry,

recursive integration methodologies, and detecting inferior drugs, 2007.

(57) United States Air Force Academy, The Importance of Statistical and Quantitative

Analytical Skills in Business and Management Today, 2007.

(56) Colorado State University, Statistical Analysis of Rolling Mills in the Steel

Industry, Recursive Integration Methodologies, Inferences on the Non- Centrality

Para meter of a Non- Central t- Distribution, and Detecting Inferior Drugs, 2007.

(55) University of New Mexico, Applications and Misapplications of Probability and

Statistics, 2007.

(54) Los Alamos National Laboratory, Applications and Misapplications of P robability

and Statistics, 2007.

(53) University of Denver, Applications and Misapplications of Probability and

Statistics, 2005.

(52) Macalester University, Applications and Misapplications of Probability and

Statistics, 2005.

(51) Bentley Co llege, Applications and Misapplications of Probability and Statistics,

2005.

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Resume Anthony Hayter

(50) Kennesaw State University, Sigma Xi Chapter, Applications and Misapplications

of Probability and Statistics, 2005.

(49) Washington State University, The Evaluation of Multivariate Normal Orthant

Probabilities, 2002.

(48) Institute of Statistical Mathematics, Japan, Introduction to Multiple Comparisons

and Simultaneous Inference, 2000.

(47) Atomic Radiation Research Laboratory, Hiroshima Medical University, Multiple

Comparisons and Simultaneous Inference, 2000.

(46) Okayama University, Japan, Introduction to Multiple Comparisons and Recent

Research Results, 2000.

(45) Institute of Statistical Mathemat ics, Japan, Non- linear Dose Response Analysis,

2000.

(44) Radiation Effects Research Foundation, Japan, An Overview of Simultaneous

Inference Procedures, 1999.

(43) Institute of Statistical Mathematics, Japan, Decision Theoretic Approaches to

Bina ry Response Data in Reliability Studies, 1998.

(42) Institute of Statistical Mathematics, Japan, Combining One - sided and Two- sided

Inference Procedures, 1998.

(41) Seoul National Polytechnic University, Current Trends in Industrial Engineering,

1998.

(40) Seoul National University, Recent Advances in Multivariate Quality Control,

1998.

(39) Institute of Statistical Mathematics, Japan, On the Pairwise Comparisons of

Means, 1997.

(38) Tsukuba University, Japan, Combining the Advantages of O ne- sided and Two-

sided Inference Methods, 1997.

(37) Hiroshima University, Japan, Recent Advances in Multivariate Quality Control,

1997.

(36) Tsukuba University, Japan, On the Selection Probabilities of Two - Stage

Procedures, 1997.

Page 21 o f 28

Resume Anthony Hayter

(35) Nationa l Institute of Environmental Agriculture, Japan, Multiple Comparison

Procedures, 1997.

(34) University of Tokyo, On the Selection Probabilities of Two - stage Decision

Procedures, 1997.

(33) United States Military Academy, West Point, N.Y., Applicat ions of Probability

and Statistics, 1997.

(32) Institute of Statistical Mathematics, Japan, On the Selection Probabilities of Two -

Stage Decision Procedures, 1997.

(31) Institute of Statistical Mathematics, Japan, Customized Confidence Set

Construct ion, 1996.

(30) University of South Alabama, Customized Confidence Set Construction, 1996.

(29) Clemson University, Customized Confidence Set Construction, 1996.

(28) University of Alabama- Huntsville, Recent Advances in Multivariate Quality

Control, 1996.

(27) University of North Carolina- Charlotte, Recent Advances in Multivariate Quality

Control, 1996.

(26) University of Central Florida, Customized Confidence Set Construction, 1996.

(25) University of Singapore, Confidence Set Construction for Stepwise Decision

Procedures, 1995.

(24) University of Georgia, Confidence Set Construction for Stepwise Decision

Procedures, 1992.

(23) University of South Carolina, Confidence Set Construction for Stepwise Decision

Procedures, 1992.

(22) Northwestern University, A One- Sided Studentized Range Test for Comparing

Several Ordered Location Parameters, 1991.

(21) Georgia Institute of Technology, A One - Sided Studentized Range Test for

Comparing Several Ordered Location Parameters, 1991.

(20) McMaster University, Canada, Minimax Test Procedures for Comparing Several

Location Parameters, 1991.

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Resume Anthony Hayter

(19) University of Georgia, A One- Sided Studentized Range Test for Comp aring

Several Ordered Location Parameters, 1991.

(18) Ohio State University, A One- Sided Studentized Range Test for Comparing

Several Ordered Location parameters, 1991.

(17) Rice University, A One- Sided Studentized Range Test for Comparing Several

Ordered Location Parameters, 1990.

(16) Trier University, Germany, A One- Sided Studentized Range Test for Comparing

Several Ordered Location Parameters, 1990.

(15) City University, England, A One- Sided Studentized Range Test for Comparing

Several Ordered Location Parameters, 1990.

(14) Cambridge University, England, The Conservative Nature of the Studentized

Range Multiple Comparisons Procedure, 1989.

(13) National Central University, Taiwan, Minimax Test P rocedures for Comparing

Several Location Parameters, 1988.

(12) Tsing- hua University, Taiwan, Power Assessment of Tests Comparing Several

Treatments with a Control, 1988.

(11) Hiroshima University, Japan, Minimax Test Procedures for Comparing Sever al

Location Parameters, 1988.

(10) Keio University, Japan, Power Assessment of Tests Comparing Several

Treatments with a Control, 1988.

(9) Osaka University, Japan, Minimax Test Procedures for Comparing Several Location

Parameters, 1988.

(8) Tok yo University, Japan, Power Assessment of Tests Comparing Several

Treatments with a Control, 1988.

(7) Tokyo University, Japan, The Conservative Nature of the Studentized Range

Multiple Comparisons Procedure, 1988.

(6) Bath University, England, The Conservative Nature of the Studentized Range

Multiple Comparisons Procedure, 1987.

(5) National Central University, Taiwan, The Conservative Nature of the Studentized

Range Multiple Comparisons Procedure, 1986.

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Resume Anthony Hayter

(4) Cheng- Kung University, Taiwan, The Conservative Nature of the Studentized

Range Multiple Comparisons Procedure, 1986.

(3) Tsing- hua University, Taiwan, The Conservative Nature of the Studentized Range

Multiple Comparisons Procedure, 1986.

(2) Imperial College, England, The Conservative Nature of the Studentized Range

Multiple Comparisons Procedure, 1984.

(1) Cornell University, The Conservative Nature of the Studentized Range Multiple

Comparisons Procedure, 1983.

Professional Memberships

Member of the Institute for Operations Research and the Management Sciences

(INFORMS).

Member of the Decision Analysis Society.

Member of the American Statistical Association.

External Examiner

Examiner for the doctoral dissertation of Zamir Hussain, Flood Frequency Analysis of

River Systems of Pakistan, Using L- Moments, Bahauddin Zakariya University,

Pakistan, 2012.

Examiner for the doctoral dissertation of Alia Sajjad, Optimality in Sparse Block

Designs, Quaid-I -Azam University, Pakista n, 2010.

External Examiner for the MBA program, Universiti Tunku Abdul Rahman, Malaysia,

2011- present.

External faculty evaluator, Bahauddin Zakariya University, Pakistan, 2010.

Panel of experts member for the purpose of evaluation of candidates for faculty positions,

Quaid- i-Azam University, Pakistan, 2010.

Examiner for the doctoral dissertation of M uhammad Zaka ria, Stochastic Models for the

Population of Pakistan, Allama Iqbal Open Universit y, Pakistan, 2010.

Examiner for the doctoral dissertation of Saima Altaf, Statistical Analysis of Paired

Comparison Models Through Bayesian Approach, Quaid -i-Azam University, Pakistan,

2009.

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Resume Anthony Hayter

Examiner for the doctoral dissertation of Muhammed Saleem, Bayesian Analysis of

M ixture Distributions, Quaid -i-Azam University, Pakistan, 2009.

Examiner for the doctoral dissertation of N. Koyama, Experimental Designs for Clinical

Trials, Institute of Statistical Mathematics, Tokyo, Japan, 2000.

Examiner for the doctoral dissertation of C handra Kumar Biswas, Design of

Multivariate Statistical Process Control Charts with Statistical and Economic

Approaches, Indian Institute of Technology, India, 1998.

Selected Recent College Activities

Development and teaching of new MBA, PMBA and EMBA quantitative courses.

Teaching and organization of pre- course workshops for the MBA quantitative course.

Developed and marketed a new Masters Degree in Business Intelligence in collaboration

with the Information Technology and Marketing departments.

Committee member for High Quality Scholarship. Finding ways to develop and

encourage the College s research activities.

Presentation on Teaching Effectiveness at the New Faculty Orientation.

Ph.D. Students Supe rvised

Chen- ju Lin, 2007, New methods for eliminating inferior treatments in clinical trials.

Jongphil Kim, 2007, Efficient confidence interval methodologies for the non- centrality

parameters of non- central t- distributions.

Generazio Hoa, 2000, Disaggregation from Constructive to Virtual Combat

Simulations.

Tom Kastner, 1997, Multinomial Selection with Elimination.

Philip DeCamp, 1997, Efficiency of Nonparametric Confidence Intervals.

Helen Bush, 1996, Nonparametric Multivariate Quality Control.

Jennifer Robinson, 1996, The Construction of Joint Confidence Sets for the Comparison

of Two Exponential Distributions.

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Resume Anthony Hayter

Wei Liu, 1990, Power Analysis of Multiple Comparisons Procedures.

Master Thesis Students Supervised

Andy Napoli, 1996, An Assessment of Current Statistical Analysis in Published

Engineering Research.

Merilee Hurn, 1989, A Study of the Power Functions of some Optimal Simultaneous

Inference Procedures by Exact Evaluation and Simulation Techniques.

Ph.D. Student Committee Member

Zachary Loftus, 2012, Additive Manufacturing Process for Titanium C omponents in

Space Applications, School of Mechanical Engineering.

Seung Oh Lee, 2006, Modeling of Local Scour Around Bridge Piers, Environmental

Fluid Mechanics and Water Resource Group, School of Civil and Environmental

Engineering.

I lya Lavrik, 2005, Novel Wavelet- based Statistical Methods with Applications in

Classification, Shrinkage, and Nano - scale Image Analysis.

Seungmook Chae, 2004, Effect of Follower Forces on Aeroelastic Stability of Flexible

Structures. School of Aerospace Engineering.

Gwen Malone, 2004, Bernoulli and Multinomial Ranking and Selection Procedures.

Hyoungtae Kim, 2004, Load Sharing and Decisions under Uncertainties in Logistics

Operations.

Jennifer Muncy, 2003, Predictive Failure Model of Flip Chip On Board Component

Level Assemblies. School of Mechanical Engineering.

Glenn Miller, 2003, Predictive Inference Methods.

Debora Daberkow, 2002, A Fo rmulation of Metamodel Implementation Processes for

Complex Systems Design. School of Aerospace Engineering.

Evelyn Wu, 2000, Analysis of Traffic Crash Data. School of Civil and Environmental

Engineering.

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Resume Anthony Hayter

Chien- ho Hung, 1999, Development of Leading Models of Metallic Contaminants

Solidified by Cement Using Time Series Analysis. School of Civil and Environmental

Engineering.

Chris Fowler, 1997, Heuristic Solution Performance for the Uncapacitated Facility

Location Problem with Uncertain Data.

Caro lina Barcenas, 1996, Geometric Tolerance Verification - a Quality Oriented

Approach.

Karen Emmanual, 1996, Multivariate Control Charts for Autocorrelated data.

Saliu Ur Rehman, 1995, Semiparametric Modeling of Cross - semivariograms.

M.S. Students Committee Member

Rebekah Kovarik, 2010, An Experimental Study of Optical Adhesive Bonds Subjected

to Thermal Cycling Environments. School of Mechanical Engineering.

Tadashi Watanabe, 2009, Japan s Preventive Strategy: The National Defense Program

Guidelines in and after FY 2010. School of International Studies.

J im Gigrich, 1997, Comparison of Silver- Meal and Wagner- Whiten Procedures for

Material Requirements Planning Under Varying Demand.

Dennis Day, 1997, Minimization of Cost and Target Escapes in Combat Models Using

the Multivariate Polya Distribution.

Chris Combs, 1996, Non- Newtonian Conversion of Type II Emulsion Liquid

Membranes. School of Chemical Engineering.

Bernd F. Schliema nn, 1996, Analysis and Modeling of the Initiative Tenet of Current

Army Operations Doctrine.

Tasha Williams, 1995, A Comparison of Selection Procedures for the Best Mean from a

Set of Normal Populations.

Eric Wiedemann, 1995, Reducing Variance between two Systems by Inducing

Correlation.

John Picciuto, 1994, Using Lp- norm Standardized Time Series Variance Estimators for

Output Analysis of Simulations.

Tim Petit, 1994, A Robustness Study of Gupta's Subset Selection Procedure.

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Resume Anthony Hayter

Susan Robertson, 1993, Usability and Viability of the Dynamic Help Toolkit.

Post-Doctoral Student Supervision

Supervisor of post- doctoral student Youngshin Park, support by a grant from the Korea

Science and Engineering Foundation, 2001.

Contact this candidate