MAT 302 Probability and Mathematical Statistics II

3 hours

Theory and methods of testing statistical hypotheses including Neyman-Pearson theorem, likelihood ratio tests, power function study, etc. Point and interval estimation of statistical parameters, including study of unbiased, consistent, efficient and sufficient estimators. Results applied to problems from different fields involving binomial, Poisson, normal and related distributions.