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Interpreting probability models : logit, probit, and other generalized linear models / Tim Futing Liao.

Por: Tipo de material: TextoTextoSeries 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.)
Tema(s): Clasificación CDD:
  • 519.5/38 20
Clasificación LoC:
  • QA 279 L52.1994
Otra clasificación:
  • 70.03
Contenidos:
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.
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Existencias
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.