| Description |
viii, 488 pages : illustrations ; 25 cm |
| Series |
Duxbury advanced series in statistics and decision sciences |
|
Duxbury advanced series in statistics and decision sciences.
|
| Contents |
Machine derived contents note: 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 |
| Analysis |
Regression analysis |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Regression analysis.
|
| LC no. |
90146188 |
| ISBN |
0534921787 (cased) |
|
