An introduction to categorical data analysis / Alan Agresti.
Series Wiley series in probability and statisticsApplied probability and statisticsEditor: New York : Wiley, c1996Descripción: xi, 290 p. : il. ; 25 cmISBN: 0471113387Tema(s): Multivariate analysisOtra clasificación: 62H17 (62-01 62J12) Recursos en línea: Publisher description1. Introduction2. Two-way contingency tables3. Three-way contingency tables4. Generalized linear models5. Logistic regression6. Loglinear models for contingency tables7. Building and applying logit and loglinear models8. Multicategory logit models9. Models for matched pairs10. A twentieth-century tour of categorical data analysisAppendix: SAS and SPSS for categorical data analysis.
| Item type | Home library | Shelving location | Call number | Materials specified | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Libros
|
Instituto de Matemática, CONICET-UNS | Libros ordenados por tema | 62 Ag277i (Browse shelf) | Available | A-7671 |
Browsing Instituto de Matemática, CONICET-UNS shelves, Shelving location: Libros ordenados por tema Close shelf browser
| 60 Z86 One-dimensional stable distributions / | 62 Ac182 Scientific method : | 62 Ag277 Categorical data analysis / | 62 Ag277i An introduction to categorical data analysis / | 62 Ai311 Statistical prediction analysis / | 62 Ai3115 Statistical mathematics / | 62 Al361 Introduction to probability and statistics / |
"A Wiley-Interscience publication."
Incluye referencias bibliográficas (p. 281-282) e índices.
1. Introduction -- 2. Two-way contingency tables -- 3. Three-way contingency tables -- 4. Generalized linear models -- 5. Logistic regression -- 6. Loglinear models for contingency tables -- 7. Building and applying logit and loglinear models -- 8. Multicategory logit models -- 9. Models for matched pairs -- 10. A twentieth-century tour of categorical data analysis -- Appendix: SAS and SPSS for categorical data analysis.
MR, 97c:62133
Click on an image to view it in the image viewer
There are no comments on this title.