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Wiley India Pvt Ltd Linear Model Theory Univeriate Multivariate And Mixed Models by Muller Keith E. Et.Al
About the Book: Linear Model Theory: Univeriate, Multivariate, and Mixed ModelsStatisticians often use linear models for data analysis and for developing new statistical methods. A solid understanding of the underlying theory provides the foundation for success in either endeavor. Historically, univariate, multivariate and mixed linear models have been discussed separately. In contrast, the authors sought a unified treatment in order to make clear the distinctions among the three classes of models. No single formulation proves uniformly best, Therefore choosing the best approach requires a detailed knowledge of the differences and similarities.ContentsPrefacePart I: Models and ExamplesPart II: Multivariate Distribution TheoryPart III: Estimation in Linear ModelsPart IV: Tests in Gaussian Linear ModelsPart V: Choosing A Simple Size In Gaussian Linear ModelsAppendix: Computing ResourcesReferencesIndexAbout the Author: Keith E Muller, Paul W StewartKeith E Muller is Associate Professor of Biostatistics at the University of North Carolina.Paul W Stewart is Research Associate Professor of Biostatistics at the University of North Carolina.