Multinomial probit. The theory and its application to demand forecasting Carlos Daganzo
Tipo de material:
- 0122011503
- 338.5212 D125m 1979
Contenidos:
Preface - Acknowledgements - 1 An introduction to disagreegate demand modeling in the transportation field. 2 Maximum-likelihood estimation: computational aspects. 3 Statistical aspects of multinomial probit model calibration. 4 Prediction: mechanical aspects. 5 The estatistical interpretation of predictions - Appendix A Some properties and definitions of matrices, determinants. and quadratic functions - Appendix B The algebra of expectations with matrices - Appendix C Some properties of the multivariate normal distribution - Appendix D Some definitions and properties of convex and concave functions - References - Index.

Biblioteca actual | Biblioteca de origen | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
---|---|---|---|---|---|---|---|
BIBLIOTECA CIESS Acervo General | BIBLIOTECA CIESS Acervo General | 338.5212 D125m 1979 | 1 | Disponible | 017726 |
Total de reservas: 0
Bibliografía p. 213 - 216.
Preface - Acknowledgements - 1 An introduction to disagreegate demand modeling in the transportation field. 2 Maximum-likelihood estimation: computational aspects. 3 Statistical aspects of multinomial probit model calibration. 4 Prediction: mechanical aspects. 5 The estatistical interpretation of predictions - Appendix A Some properties and definitions of matrices, determinants. and quadratic functions - Appendix B The algebra of expectations with matrices - Appendix C Some properties of the multivariate normal distribution - Appendix D Some definitions and properties of convex and concave functions - References - Index.