Classical and modern regression with applications
著者
書誌事項
Classical and modern regression with applications
（The Duxbury classic series）
Duxbury, c1990
2nd ed
- : paperback
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注記
Includes bibliographical references and index
内容説明・目次
- 巻冊次
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: paperback ISBN 9780534380168
内容説明
Regression analysis is a vitally important statistical tool, with major advancements made by both practical data analysts and statistical theorists. In CLASSICAL AND MODERN REGRESSION WITH APPLICATIONS, Second Edition, Raymond H. Myers provides a solid foundation in classical regression, while introducing modern techniques. Throughout the text, a broad spectrum of applications are included from the physical sciences, engineering, biology, management, and economics.
目次
1. Introduction: Regression Analysis 2. The Simple Linear Regression Model 3. The Multiple Linear Regression Model 4. Criteria for Choice of Best Model 5. Analysis of Residuals 6. Influence Diagnostics 7. Nonstandard Conditions, Violations of Assumptions, and Transformations 8. Detecting and Combating Multicollinearity 9. Nonlinear Regression Appendix A: Some Special Concepts in Matrix Algebra / Appendix B: Some Special Manipulations / Appendix C: Statistical Tables
- 巻冊次
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ISBN 9780534921781
内容説明
The author emphasizes applications with examples that illustrate nearly all the techniques discussed. Applications have been selected from physical sciences, engineering, biology, management science and economics. Emphasis is also placed on concepts with a blend between illustrations using real data sets and mathematical and conceptual development. Expanded coverage includes: simultaneous influence, maximum likelihood estimation of parameters, and the plotting of residuals, the use of the general linear hypothesis, indicator variables, the geometry of least squares, the relationship to ANOVA models, Box-Cox transformation with illustrations, categorical response, other nonnormal error situations, autocorrelated errors and logistic regression.
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