Methods and applications of linear models : regression and the analysis of variance
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Bibliographic Information
Methods and applications of linear models : regression and the analysis of variance
（Wiley series in probability and mathematical statistics）
Wiley, c2003
2nd ed
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Note
Bibliography: p. 727-735
Includes index
Description and Table of Contents
Description
The Second Edition has been rearranged and reorganized, as well as fully updated and expanded to cover new developments. It includes material on the AVE method and explains existing information in an even more user friendly form, and includes additional exercises. It describes a general approach to the analysis of unbalanced mixed models, and uses data based approach to development and analysis. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.
Table of Contents
Preface to the Second Edition.Preface to the First Edition.PART I: REGRESSION MODELS.Introduction to Linear Models.Regression on Functions of One Variable.Transforming the Data.Regression of Functions of Several Variables.Collinearity in Multiple Linear Regression.Influential Observations in Multiple Linear Regression.Polynomial Models and Qualitative Predictors.Additional Topics.PART II: ANALYSIS OF VARIANCE MODELS.Introduction to Analysis of Variance Models.Fixed Effects Models I: One-Way Classification of Means.Fixed Effects Models II: Two-Way Classification of Means.Fixed Effects Models III: Multiple Crossed and Nested Factors.Mixed Models I: The AOV Method with Balanced Data.Mixed Models II: The AVE Method with Balanced Data.Mixed Models III: Unbalanced Data.PART III: MATHEMATICAL THEORY OF LINEAR MODELS.Distribution of Linear and Quadratic Forms.Estimation and Inference for Linear Models.Simultaneous Inference: Tests and Confidence Intervals .Appendix A. Mathematics.Appendix B. Statistics.Appendix C. Statistical Tables.Appendix D. Data Tables.References.Index.
by "Nielsen BookData"