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Applied regression analysis : a research tool
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| Auteurs principaux : | , , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Applied regression analysis : a research tool / John O. Rawlings, Sastry G. Pantula, David A. Dickey |
| Édition : | 2nd edition |
| Publié : |
New York :
Springer
, cop. 1998 |
| Description matérielle : | 1 vol. (XVIII-657 p.) |
| Collection : | Springer texts in statistics advisors George Casella, Stephen Fienberg, Ingram Olkin |
| Sujets : |
- 1. Review of simple regression
- 2. Introduction to matrices
- 3. Multiple regression in matrix notation
- 4. Analysis of variance and quadratic forms
- 5. Case study : five independent variables
- 6. Geometry of least squares
- 7. Model development : variable selection
- 8. Polynomial regression
- 9. Class variables in regression
- 10. Problem area in least squares
- 11. Regression diagnostics
- 12. Transformation of variables
- 13. Collinearity
- 14. Case study : collinearity problems
- 15. Modesls nonlinear in the parameters
- 16. Case study : response curve modeling
- 17. Analysis of unbalanced data
- 18. Mixed effects models
- 19. Case study : analysis of unbalanced data