Introduction to Mathematical Statistics I

Catalog description

Introduction to statistical inference, distributions of random variables, common discrete and continuous probability models, transformations, limiting distributions, sufficiency, completeness, unbiased estimation, information inequality, method of moments, maximum likelihood estimation, Bayesian estimation, confidence intervals, hypothesis tests, uniformly most powerful tests, likelihood ratio tests and related procedures, linear models, and non-parametric models. Pre-requisite(s): MATH 283 , STAT 461 .