Statistics 301
Mathematical Statistics I

Mary Sara McPeek
TTH 1:30-2:50, Eck 117

This course is part of a two-quarter sequence on the theory of statistics. Topics will include exponential families, quadratic forms of multivariate normal, asymptotics of order statistics, sufficiency and completeness, the likelihood function, methods of point estimation, and asymptotic properties of maximum likelihood estimates. Other topics (e.g. Bayesian methods and methods for dependent observations) may be covered if time permits. Prerequisite is Stat 304 or consent of the instructor.

Texts: Casella and Berger. Statistical Inference, 2nd ed.
Ferguson. A course in large sample theory.