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May 10, 2024
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MATH 310 Mathematical Statistics ICredit 3
This course covers bivariate and multivariate distributions of random variables and their properties, limit theorems (law of large numbers and the central limit theorem) transformation of variables for the discrete and continuous types, and T and F distributions; point and interval estimation; the maximum likelihood; unbiasedness; efficiency; sufficiency; MVU of estimators and other characteristics of point estimators; Cramer and Rao Blackwell Theorems, testing of hypothesis, and Neyman Pearson Lemma. Prerequisites: MATH 309 with a grade of ‘C’ or better. Prerequisite(s): A grade of ‘C’ or better in MATH 309 .
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