AMS 578, Regression Theory
Classical least-squares theory for regression including the Gauss-Markov theorem and classical normal statistical theory. An introduction to stepwise regression, procedures, and exploratory data analysis techniques. Analysis of variance problems as a subject of regression. Brief discussions of robustness of estimation and robustness of design.
Prerequisite: AMS 572
3 credits, ABCF grading

Text:Applied Regression Analysis, bu Draper and Smith, John Wiley and Sons

Actuarial Exam: A student receiving a B- or better in this course and in AMS 586 satisfies the Actuarial Exam test in Applied Statistics, through the Society of Actuaries Validation by Educational Experience program. For more details about actuarial preparation at Stony Brook see Actuarial Program

Spring Semester

Spring 2009 Section
Instructor: TBA, MW 3:50-5:10 pm, Chemistry 128, No course webpage