An advanced examination of core concepts in mathematical statistics, including the multivariate normal distribution, limit distributions, sufficient statistics, completeness of families of distributions, exponential families, likelihood ratio tests, chi-square tests, and the analysis of variance. Additional topics and examples relating to sequential tests, non-parametric methods, Bayesian statistical modeling, and the general linear model may also be explored.
This course may not be repeated for credit.
Prerequisite(s)
- Statistics 323 or Mathematics 323; and Mathematics 267 or 277 or 353 or 381.
SyllabusSections
This course will be offered next in
Fall 2015.