Associated Faculty
Dr. John E. Bernard
MAGC 3.106
956 665 3452
bernardjet@utpa.edu
MATH (COSM)
Education measurement and applications, Psychometric tests and measurements, Scale calibration, General statistics, Experiment design Minitab
Dr. Ralph Carlson
EDUC.114
956 665 3466
rcarlson@utpa.edu
PSY&ED (COE)
Analysis of variance, Logistic regression, Factor analysis, Analysis with repeated measures, Deriving psychometric properties through classical and latent trait models. SPSS, Splus, MULTILOG, AMOS, etc.
Dr. Santanu Chakraborty
MAGC 3.428
956 665 2313
schakraborty@utpa.edu
MATH (COSM)
Topics related to probability theory and stochastic process, General statistical inference
Dr. Benjamin Ebaseh-Onofa
MAGC 3.410
956 665 3458
boebf82@utpa.edu
MATH (COSM)
Experiment design, Analyses of of survey data, General Statistics SAS
Dr. Jerwen Jou
SBSC 365
956 665 3329
jjou@utpa.edu
PSY (COSBS)
General linear model, Multiple regression, Most proficient in psychological or behavioral data analysis, All types of ANOVAs SAS
Dr. Hyung Won Kim
MAGC 3.808
956 665 2372
kimhw@utpa.edu
MATH (COSM)
Statistics education, Experimental design
Dr. Tamer Oraby
MAGC 3.428
956 665 3536
orabytf@utpa.edu
MATH (COSM)
Disease modeling
SPSS, R, Matlab
Dr. Daniel Riahi
MAGC 3.610
956 665 7063
driahi@utpa.edu
MATH (COSM)
Statistical fluid mechanics, Statistical description, Theory and modeling of turbulence, Turbulent eddy modeling Maple
Dr. Douglas Timmer
ENGR 3.258
956 665 2608
timmer@utpa.edu
MANE (COECS)
Applied statistics, Statistical process control, Design of experiments and reliability SAS, SPSS
Dr. Xiaohui Wang
Contact: xiaohui.wang@utrgv.edu, (956) 665-3454, EMAGC 3.802CV
School of Mathematical & Statistical Sciences (SMSS), College of Science
Experiment design, Survey design, Regression analysis, Classification and clustering, Categorical data analysis, Mixed model SPSS, SAS, R, Splus, Matlab
URL
Dr. George Yanev
MAGC 3.424
956 665 3632
yanevgp@utpa.edu
MATH (COS)
Applied statistics, Regression modeling, Nonparametric statistics, Random growth models R, SAS, SPSS