Categorical data analysis / Alan Agresti.
Series Wiley series in probability and mathematical statisticsApplied probability and statisticsEditor: New York : Wiley, c1990Descripción: xv, 558 p. : il. ; 24 cmISBN: 0471853011Tema(s): Multivariate analysisOtra clasificación: 62H171. Introduction2. Describing two-way contingency tables3. Inference for two-way contingency tables4. Models for binary response variables5. Loglinear models6. Fitting loglinear and logit models7. Building and applying loglinear models8. Loglinear-logit models for ordinal variables9. Multinomial response models10. Models for matched pairs11. Analyzing repeated categorical response data12. Asymptotic theory for parametric models13. Estimation theory for parametric models.
| Item type | Home library | Shelving location | Call number | Materials specified | Status | Date due | Barcode |
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Instituto de Matemática, CONICET-UNS | Libros ordenados por tema | 62 Ag277 (Browse shelf) | Available | A-6863 |
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| 60 Y22 The construction theory of denumerable Markov processes / | 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 / |
"A Wiley-Interscience publication."
Incluye referencias bibliográficas (p. 508-540) e índices.
1. Introduction -- 2. Describing two-way contingency tables -- 3. Inference for two-way contingency tables -- 4. Models for binary response variables -- 5. Loglinear models -- 6. Fitting loglinear and logit models -- 7. Building and applying loglinear models -- 8. Loglinear-logit models for ordinal variables -- 9. Multinomial response models -- 10. Models for matched pairs -- 11. Analyzing repeated categorical response data -- 12. Asymptotic theory for parametric models -- 13. Estimation theory for parametric models.
MR, 91k:62055
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