Oklahoma State University

757

STAT 5213 Bayesian Analysis Prerequisites: STAT 5223 or consent of instructor.

STAT 5513 Multivariate Analysis Prerequisites: STAT 5323.

Description: Fundamentals of Bayesian inference, Bayesian hierarchical models, choices of priors, Markov chain Monte Carlo, model checking and comparison, advanced topics and applications. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture

Description: Multivariate normal distribution, simple, partial and multiple correlation, multivariate sampling distributions. Wishart distribution, general T-distribution, estimation of parameters and tests of hypotheses on vector means and covariance matrix. Classification problems, discriminate analysis, and applications. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture

Department/School: Statistics STAT 5223 Statistical Inference Prerequisites: STAT 5123 and MATH 3013.

Department/School: Statistics STAT 5910 Seminar in Statistics Prerequisites: Consent of instructor.

Description: Sampling distributions, point estimation, maximum likelihood methods, Rao-Cramer inequality, confidence intervals, hypothesis testing, sufficiency, completeness. Previously offered as STAT 4223. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture

Description: Investigation of special problems in the theory and/or application of statistics using current techniques. Special studies for M.S. level students. Offered for variable credit, 1-6 credits. maximum of 3 credit hours. Credit hours: 1-6 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Statistics STAT 6000 Doctoral Dissertation Prerequisites: Consent of advisory committee. Description: Directed research culminating in the PhD thesis. Offered for variable credit, 1-10 credit hours, maximum of 30 credit hours. Credit hours: 1-10 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Statistics STAT 6010 Statistics Literature Prerequisites: Consent of instructor. Description: Published journal articles from statistics or related areas are discussed. Previously offered as STAT 6001. Credit hours: 1 Contact hours: Lecture: 1 Levels: Graduate Schedule types: Lecture Department/School: Statistics STAT 6013 Genetic Statistics Prerequisites: A one-year graduate level sequence in statistics or with the permission of the instructor. Description: Course provides a statistical basis for modeling genetic evolution in populations and describing variation in quantitative traits. Population genetics principles will be used to study DNA sequence variation and quantitative traits. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Statistics

Department/School: Statistics STAT 5303 Experimental Designs

Prerequisites: STAT 5023 or STAT 4023 with consent of instructor. Description: Review of basic concepts, interpretation of main effects and interactions in multi- factor designs, multiple comparisons, split- unit experiments, complete and incomplete block designs, linear mixed models analysis (including repeated measures analysis), 2n and 3n factorial experiments, fractional factorial experiments, crossover designs. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Statistics STAT 5323 Theory of Linear Models I Prerequisites: STAT 5223, MATH 3013, and one of STAT 4023 or STAT 5023. Description: Matrix theory (generalized inverse, idempotent matrix, and non- negative matrix results), multivariate normal distribution, quadratic forms, chi-square distribution, general linear models, estimability, general hypothesis testing. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Statistics STAT 5333 Theory of Linear Models II Prerequisites: STAT 5323. Description: Maximum likelihood estimation; one- way and two-way ANOVA models, multiple comparisons, regression models, linear mixed models, variance component estimation. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Statistics