Interpreting probability models : logit, probit, and other generalized linear models / Tim Futing Liao.
Tipo de material: TextoSeries Sage university papers series. Quantitative applications in the social sciences ; ; no. 07-101Detalles de publicación: Thousand Oaks, Calif. : Sage, 1994.Descripción: vii, 88 p. : il. ; 22 cmISBN:- 0803949995 (pbk.)
- 519.5/38 20
- QA 279 L52.1994
- 70.03
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libros | Biblioteca Francisco Xavier Clavigero Acervo | Acervo General | QA 279 L52.1994 (Navegar estantería(Abre debajo)) | ej. 1 | Disponible | BFXC035491 |
Incluye referencias bibliográficas (p. 85-87)
1. Introduction -- Why probability models? -- Why interpretation? -- 2. Generalized linear models and the interpretation of parameters -- Generalized linear models -- Interpretation of parameter estimates -- 3. Binary logit and probit models -- Logit models -- Interpretation of logit models -- Probit models -- Interpretation of probit models -- Logit or probit models? -- 4. Sequential logit and probit models -- The model -- Interpretation of sequential logit and probit models -- 5. Ordinal logit and probit models -- The model -- Interpretation of ordinal logit and probit models -- 6. Multinomial logit models -- The model -- Interpretation of multinomial logit models -- 7. Conditional logit models -- The model -- Interpretation of conditional logit models -- 8. Poisson regression models -- The model -- Interpretation of poisson regression models -- 9. Conclusion.