Distributions in probability and statistics, central limit theorem, Poisson processes, modes of convergence, transformations involving random variables. Estimation, confidence intervals, hypothesis testing, linear models, large sample theory, categorical models, decision theory. Concepts in statistical programming and statistical computation, including programming principles, data and text manipulation, parallel processing, simulation, numerical linear algebra, and optimization. The capstone project is part of the masters degree program in statistics. Students engage in professionally-oriented group research under the supervision of a research advisor.
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All Majors Minors. Sort by College. Actuarial Science BS. Aerospace Studies Minor. Africana Studies Minor. American Indian Studies Minor.
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The purpose of these notes is to provide a quick introduction to R, particularly as a tool for fitting linear and generalized linear models. The notes originated in a handout introducing S-Plus, but have been substantially rewritten to target R using R Studio. Each of the subjects discussed here includes a sample application. Introducing R was last updated November