Description |
xxi, 597 pages : illustrations ; 26 cm |
Contents |
1. Statistics and Social Science -- 2. What Is Regression Analysis? -- 3. Examining Data -- 4. Transforming Data -- 5. Linear Least-Squares Regression -- 6. Statistical Inference for Regression -- 7. Dummy-Variable Regression -- 8. Analysis of Variance -- 9. Statistical Theory for Linear Models -- 10. The Vector Geometry of Linear Models -- 11. Unusual and Influential Data -- 12. Diagnosing Nonlinearity, Nonconstant Error Variance, and Nonnormality -- 13. Collinearity and Its Purported Remedies -- 14. Extending Linear Least Squares: Time Series, Nonlinear, Robust, and Nonparametric Regression -- 15. Logit and Probit Models -- 16. Assessing Sampling Variation: Bootstrapping and Cross-Validation -- App. A. Notation -- App. B. Vector Geometry -- App. C. Multivariable and Matrix Differential Calculus -- App. D. Probability and Estimation |
Notes |
Revision of author's 1984 text, Linnear statistical models and related methods |
Bibliography |
Includes bibliographical references and index |
Subject |
Linear models (Statistics)
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Regression analysis.
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Social sciences -- Statistical methods.
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LC no. |
96038084 |
ISBN |
080394540X (alk. paper) |
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