Listed in: Mathematics and Statistics, as MATH-30
Amy S. Wagaman (Section 01)
This course examines the theory behind common statistical inference procedures including estimation and hypothesis testing. Beginning with exposure to Bayesian inference, the course will cover Maximum Likelihood Estimators, sufficient statistics, sampling distributions, joint distributions, confidence intervals, hypothesis testing and test selection, non-parametric procedures, and linear models. Four class hours per week.
Requisite: Mathematics 29 or consent of the instructor. Spring semester. Professor Wagaman.
Offerings2014-15: Offered in Spring 2015
Other years: Offered in Spring 2009, Spring 2011, Spring 2013