Official Description: Lecture—3 hours; discussion—1 hour. Prerequisite: course 130A. Transformed random variables, large sample properties of estimates. Basic ideas of hypotheses testing, likelihood ratio tests, goodness-of-fit tests. General linear model, least squares estimates, Gauss-Markov theorem. Analysis of variance, F-test. Regression and correlation, multiple regression. Selected topics.—II. (II.)
Instructors: Francisco Samaniego
Other info and comments: From the instructor:
The course has evolved a bit since this course description was written. The material mentioned is indeed covered. The current course includes the following additional topics: optimal estimation, under suitable restrictions, in fixed-sample-size problems, the Bayesian approach to estimation and a brief introduction to nonparametric estimation and testing.
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