The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a giv...
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- Front Cover; Regression Analysis: Statistical Modeling of a Response Variable; Copyright Page; Contents; Preface; An Overview; Part I: The Basics; Chapter 1. The Analysis of Means: A Review of Basics and an Introduction to Linear Models; Chapter 2. Simple Linear Regression: Linear Regression with one Independent Variable; Chapter 3. Multiple Linear Regression; Part II: Problems and Remedies; Chapter 4. Problems with Observations; Chapter 5. Multicollinearity; Chapter 6. Problems with the Model; Part III: Additional Uses of Regression; Chapter 7. Curve Fitting.
- Chapter 8. Introduction to Nonlinear ModelsChapter 9. Indicator Variables; Chapter 10. Categorical Response Variables; Chapter 11. Generalized Linear Models; Appendix A: Statistical Tables; A.1 The Standard Normal DistributionProbabilities Exceeding Z; A.2 The T DistributionValues of T Exceeded with Given Probability; A.3 The X2 DistributionX2 Values Exceeded with Given Probability; A.4 The F Distribution p= 0.1; A.5 The DurbinWatson Test Bounds; A.