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    Jan 21, 2022  
2010-2011 Graduate Catalog 
    
2010-2011 Graduate Catalog [ARCHIVED CATALOG]

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STAT 572 - Applied Regression Analysis

3 Credit Hours
Simple linear regression. Matrix approach to multiple linear regression. Partial and sequential sums of squares, interaction and confounding, use of dummy variables, model selection. Leverage, influence and collinearity. Autocorrelated errors. Generalized linear models, maximum likelihood estimation, logistic regression, analysis of deviance. Nonlinear models, inference, ill-conditioning. Robust regression, M-estimators, iteratively reweighted least squares. Nonparametric regression, kernel, splines, testing lack of fit.
(RE) Prerequisite(s): 571 and matrix algebra.



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