Degree Programs Offered: Master of Science, Doctor of Philosophy

Director of Graduate Program: Professor John Kolassa, 504 Hill Center for the Mathematical Sciences, Busch Campus (732/445-2693)

Web Site: http://www.stat.rutgers.edu

Members of the Graduate Faculty

Robert H. Berk, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Harvard
Sequential methods; nonparametric statistics; quality control and large-sample theory

Javier F. Cabrera, Associate Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Princeton
Statistical computing and graphics; computer vision; directional data analysis

Arthur Cohen, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Columbia
Statistical inference; decision theory; multivariate analysis; and linear models

Ramanathan Gnanadesikan, Professor Emeritus of Statistics andBiostatistics, FAS-NB; Ph.D., North Carolina
Graphical methods; multivariate analysis; robust procedures

Richard F. Gundy, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Indiana; Ph.D., Chicago
Probability theory; harmonic analysis

Donald R. Hoover, Associate Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Stanford
Longitutional methods; applied statistics and multiple comparisons

Johannes H.B. Kemperman, Professor Emeritus of Mathematics, Statistics, and Biostatistics, FAS-NB; Ph.D., Amsterdam
Probability and statistics; mathematical analysis

John E. Kolassa, Associate Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Chicago
Asymptotics; biostatistics

Regina Y. Liu, Chairperson and Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Columbia
Nonparametric inferences; resampling; applications of data depth; statistical quality control

David Madigan, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Trinity (Dublin)
Datamining; statistical computing

Joseph I. Naus, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Harvard
Applied probability; sampling theory; data quality control; clustering and coincidence models; matching in DNA sequences

Douglas A. Penfield, Professor of Statistics and Biostatistics, GSE; Ph.D., California (Berkeley)
Educational statistics

Harold B. Sackrowitz, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Columbia
Inference anddecision theory; acceptance sampling; order-restricted inference

Lawrence Shepp, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Princeton
Pure and applied probability tomography

Kesar Singh, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Indian Statistical Institute
Nonparametric statistics; asymptotics; large deviations; resampling procedures: bootstrap and jackknife; notions of data depth; angular data

William E. Strawderman, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Rutgers
Decision theory; Bayesian analysis; multivariate statistics

Henry Teicher, Professor Emeritus of Statistics and Biostatistics, FAS-NB; Ph.D., Columbia
Probability theory; statistical inference

J. Richard Trout, Professor Emeritus of Statistics and Biostatistics and Computer Science, CC; Ph.D., Rutgers
Regression analysis; design and analysis of experiments

David E. Tyler, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Princeton
Multivariate analysis; robust statistics; directional data; psychometrics; computer vision and time series

Minge Xie, Associate Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Illinois
Longitudinal data analysis; robust statistics; experimental design; biostatistics

Cunhui Zhang, Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Columbia
Empirical Bayes; survival analysis and incomplete data; statistical inference; probability theory

Associate Members of the Graduate Faculty

Steven Buyske, Assistant Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Rutgers
Biostatistics, psychometrics, experimental design, tomography

Rebecka Jornsten, Assistant Professor of Statistics and Biostatistics, FAS-NB; Ph.D., California (Berkeley)
Applied statistics; image and signal processing; time series

Juan K. Lin, Assistant Professor of Statistics and Biostatistics, FAS-NB; Ph.D., Chicago
Multivariate analysis; probabilistic networks; clustering; machine learning

Jeffrey K. Smith, Professor of Educational Statistics and Measurement, GSE; Ph.D., Chicago Educational statistics