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University of Texas at Austin - 384C. Mathematical Statistics.

Same as Computational and Applied Mathematics 384R. General theory of mathematical statistics. Hypothesis testing, estimation, decision theory. Three lecture hours a week for one semester. Prerequisite: Graduate standing, and Mathematics 378K or consent of instructor or the graduate adviser in mathematical statistics.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384D. Mathematical Statistics.

Same as Computational and Applied Mathematics 384S. Continuation of Mathematics 384C. Three lecture hours a week for one semester. Prerequisite: Graduate standing, consent of instructor, and Computational and Applied Mathematics 384R or Mathematics 384C.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384E. Analysis of Variance.

Same as Computational and Applied Mathematics 384U. Analysis of variance, including one- and two-way layouts; components of variance; fixed, random, and mixed models; and various types of experimental designs and their analysis. Three lecture hours a week for one semester. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384F. Design of Experiments.

Design of experiments, including 2n and 3n factorial experiments, confounding, fractional factorials, sequential experimentation, orthogonal arrays, D-optimal experiments, and response surface methodology. Three lecture hours a week for one semester. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384G. Regression Analysis.

Same as Computational and Applied Mathematics 384T. Fitting linear models to data by the method of least squares, choosing best subsets of predictors, and related materials. Three lecture hours a week for one semester. Prerequisite: Graduate standing and consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384H. Multivariate Statistical Analysis.

Introduction to the general multivariate linear model; a selection of techniques, such as principle component, factor, and discriminant analysis. Three lecture hours a week for one semester. Prerequisite: Graduate standing and consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 385C. Theory of Probability.

Same as Computational and Applied Mathematics 384K. Three lecture hours a week for one semester. Prerequisite: Graduate standing and consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 385D. Theory of Probability.

Same as Computational and Applied Mathematics 384L. Continuation of Mathematics 385C. Three lecture hours a week for one semester. Prerequisite: Graduate standing, consent of instructor, and Computational and Applied Mathematics 384K or Mathematics 385C.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 394C. Topics in Probability and Statistics.

Same as Computational and Applied Mathematics 394C. Recent topics have included nonparametric statistics, advanced probability. Three lecture hours a week for one semester. May be repeated for credit when the topics vary. Some topics are offered on the credit/no credit basis only; these are identified in the Course Schedule . Prerequisite: Graduate standing and consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384J. Frequency Data.

Analysis of data from discrete probability models. Topics include logit and probit regression models and the analysis of complex contingency tables. Three lecture hours a week for one semester. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384L. Applied Statistics.

Data analysis and statistical inference. Topics include contingency tables, logistic regression, and generalized linear models. Three lecture hours a week for one semester. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 384P. Quality Assurance.

Shewhart and cumulative sum control charts, acceptance sampling, off-line quality control; Taguchi methods. Three lecture hours a week for one semester. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
Score: 9.553972 Details | Listing | Web page

University of Texas at Austin - 398R. Master’s Report.

Preparation of a report to fulfill the requirement for the master’s degree under the report option. The equivalent of three lecture hours a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in statistics and consent of the supervising professor and the graduate adviser.
Score: 9.553972 Details | Listing | Web page

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