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Practical Regression and Anova in R
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Practical Regression and Anova in R. This book is derived from material that I have taught in the class - Statistics 500 at the University of Michigan. This a masters level course covering the following topics:Linear Models: Definition, fitting, inference, interpretation of results, meaning of regression coefficients, identifiablity, lack of fit, multicollinearity, ridge regression, principal components regression, partial least squares, regression splines, Gauss-Markov theorem, variable selection, diagnostics, transformations, influential observations, robust procedures, ANOVA and analysis of covariance, randomised block, factorial designs http://www.stat.lsa.umich.edu/~faraway/book/pra.pdf |
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