University of Calgary

STAT 323 - Introduction to Mathematical Statistics - Winter 2013

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.

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.
Syllabus

Sections

This course will be offered next in Summer 2013.
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