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|MATH 321 - Mathematical Statistics|
Random sampling, statistical inference, and sampling distributions, point and interval estimation, matching moments, maximum likelihood, mean square error, consistency, efficiency, uniformly minimum-variance unbiased estimator (UMVUE), Neyman-Pearson Lemma, Likelihood ratio tests, classical tests of significance, goodness-of-fit, contingency tables, correlation, regression, nonparametric methods, Bayesian methods. Prerequisite: C- or better in MATH 320 or permission of the department chairperson.
4.000 Credit hours
4.000 Lecture hours
Schedule Types: Lecture, Immersive Learning, Undergraduate Research, Study Abroad, Societal Issue/Global Chal
Mathematical Sciences Department