Course Description

89-311 Introductory Mathematical Statistics II W(3-0) [0.50]

Elementary statistical decision theory. Estimation, consistency, sufficiency; Cramer-Rao inequality; maximum likelihood estimator and its properties; best linear unbiased estimator; least squares; linear regression, experimental design models; 1-way and 2-way classifications, latin squares; robustness of t and F tests; non-parametric methods. Numerical examples will illustrate the theory.

Prerequisites: 89-310.

Course Profile

1998-99 Undergraduate Calendar