| Titre : |
Applied linear statistical models |
| Type de document : |
texte imprimé |
| Auteurs : |
John Neter, Auteur ; Michael H. Kutner, Auteur ; Christopher J. Nachtsheim, Auteur ; William Wasserman, Auteur |
| Mention d'édition : |
4e éd |
| Editeur : |
Chicago (Illinois) [États-Unis] : Irwin |
| Année de publication : |
c1996 |
| Collection : |
Irwin series in production operations management num. 1996: 1 |
| Importance : |
1 vol. (xv, 1408 p.) |
| Présentation : |
ill. |
| Format : |
27 cm |
| Accompagnement : |
1 computer disk (3 1/2 in.) |
| ISBN/ISSN/EAN : |
978-0-256-11736-3 |
| Langues : |
Anglais (eng) |
| Catégories : |
Analyse de régression ; Analyse de variance ; Modeles lineaires (Statistique) ; Plan d'expérience
|
| Index. décimale : |
513.5 85 |
| Résumé : |
This text uses an applied approach, with an emphasis on the understanding of concepts and exposition by means of examples. Sufficient theoretical information is provided to enable applications of regression analysis to be carried out. Case studies illustrate many of the statistical methods |
| Note de contenu : |
Ch. 1. Linear Regression with One Independent Variable -- Ch. 2. Inferences in Regression Analysis -- Ch. 3. Diagnostics and Remedial Measures -- Ch. 4. Simultaneous Inferences and Other Topics in Regression Analysis -- Ch. 5. Matrix Approach to Simple Linear Regression Analysis -- Ch. 6. Multiple Regression I -- Ch. 7. Multiple Regression II -- Ch. Ch. 8. Building the Regression Model I: Selection of Predictor Variables -- Ch. 9. Building the Regression Model II: Diagnostics -- Ch. 10. Building the Regression Model III: Remedial Measures and Validation -- Ch. 11. Qualitative Predictor Variables -- Ch. 12. Autocorrelation in Time Series Data -- Ch. 13. Introduction to Nonlinear Regression -- Ch. 14. Logistic Regression, Poisson Regression, and Generalized Linear Models -- Ch. 15. Normal Correlation Models -- Appendix. A Some Basic Results in Probability and Statistics -- Appendix B Tables -- Appendix C Data Sets -- Appendix D Selected Bibliography -- Index |
Applied linear statistical models [texte imprimé] / John Neter, Auteur ; Michael H. Kutner, Auteur ; Christopher J. Nachtsheim, Auteur ; William Wasserman, Auteur . - 4e éd . - Chicago (Illinois) (Chicago, États-Unis) : Irwin, c1996 . - 1 vol. (xv, 1408 p.) : ill. ; 27 cm + 1 computer disk (3 1/2 in.). - ( Irwin series in production operations management; 1996: 1) . ISBN : 978-0-256-11736-3 Langues : Anglais ( eng)
| Catégories : |
Analyse de régression ; Analyse de variance ; Modeles lineaires (Statistique) ; Plan d'expérience
|
| Index. décimale : |
513.5 85 |
| Résumé : |
This text uses an applied approach, with an emphasis on the understanding of concepts and exposition by means of examples. Sufficient theoretical information is provided to enable applications of regression analysis to be carried out. Case studies illustrate many of the statistical methods |
| Note de contenu : |
Ch. 1. Linear Regression with One Independent Variable -- Ch. 2. Inferences in Regression Analysis -- Ch. 3. Diagnostics and Remedial Measures -- Ch. 4. Simultaneous Inferences and Other Topics in Regression Analysis -- Ch. 5. Matrix Approach to Simple Linear Regression Analysis -- Ch. 6. Multiple Regression I -- Ch. 7. Multiple Regression II -- Ch. Ch. 8. Building the Regression Model I: Selection of Predictor Variables -- Ch. 9. Building the Regression Model II: Diagnostics -- Ch. 10. Building the Regression Model III: Remedial Measures and Validation -- Ch. 11. Qualitative Predictor Variables -- Ch. 12. Autocorrelation in Time Series Data -- Ch. 13. Introduction to Nonlinear Regression -- Ch. 14. Logistic Regression, Poisson Regression, and Generalized Linear Models -- Ch. 15. Normal Correlation Models -- Appendix. A Some Basic Results in Probability and Statistics -- Appendix B Tables -- Appendix C Data Sets -- Appendix D Selected Bibliography -- Index |
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