MATH 432 - Mathematical Theory of Statistics II

3 Credits
Three hours per week.

This course is a continuation of MATH 431. It is designed to cover the following: normal correlation and regression, theory of estimation with emphasis on uniformly minimum un- biased estimators and the maximum likelihood method, theory of hypothesis testing with emphasis on Nyman- Pearson Lemma and the likelihood ratio tests, power function, deriving distributions of one and two random variables, small sample distributions with emphasis on the chi-square, t and F distributions.

Prerequisite(s) MATH 431. Students must pass MATH 431 with a grade of C or better.
Offered (SPRING)