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STAT 9106

Linear Models II

Temple University 3 credits STAT

Course Description

Continuation of STAT 8106, covers the theory and practice of analyzing multivariate repeated/correlated non-Gaussian responses, with or without missing observations. Missing at random (MAR) models; informative missingness; EM algorithm; multiple imputations; quasi-likelihood estimation; generalized estimating equations (GEE); transition models; Gibbs sampling; Markov Chain Monte-Carlo (MCMC) technique. The students will need to work with R, SAS and WinBugs throughout the semester.

Code
STAT 9106
Credits
3
Subject
STAT

Programs That Include This Course

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