ests, likelihood ratio tests, maximum likelihood estimation (mle) and computational approaches to determine mle's. The multivariate normal distribution, random vectors and covariance matrices; linear and quadratic forms. The general linear model, Cochran-Fisher theorem. Hypothesis testing and confidence regions for a vector of parameters. Department Managed Prerequisite(s): Graduate level STT 6610 Minimum Grade of D
Must be enrolled in one of the following Levels: Graduate, Medical, Professional.