University of Calgary
STAT 323 - Introduction to Mathematical Statistics - Summer 2014
Bivariate distributions. Sampling distributions. Chi-squared, F and t distributions. Estimation. Hypothesis tests (proportions, means, variance, chi-square). Method of moments. Maximum likelihood estimators. Neyman-Pearson lemma. Likelihood ratio tests. Elementary regression and correlation.
This course may not be repeated for credit.SyllabusThis course will be offered next in Winter 2015.
This course may not be repeated for credit.
Hours
- H(3-1T)
Notes
- Prior or concurrent completion of Mathematics 353 or 381 is strongly recommended. Also known as: (formerly Mathematics 323)
Prerequisite(s)
- Mathematics 321.
Sections
LEC 1 MWF 10:30 - 12:20 Outline TUT 1 MW 12:30 - 13:25 TUT 2 MW 12:30 - 13:25
Powered by UNITIS. More features.