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Some procedures for the statistical and empirical analyses of probabilistic discrete decisions models

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  • Yadlin-Weintraub, Marisa

Abstract

This paper establishes the procedures for performing statistical analyses of and empirical comparisons among probabilistic discrete decision models with simulated data. The generation of information by means of a novel technique in this area, namely assignment of responses by multinomial simulation, is explained. Estimation of parameters, tests of hypotheses, and goodness of fit measures, with special reference to maximum likelihood methods, are examined. The applicability of the procedures to the study of the Multinomial Logit Model and two parametric generalizations of this model, the Generalized Extreme Value Model and the Nesting Extreme Value Model in the three alternative, two substitute situation is studied. An empirical investigation carried out is outlined.

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  • Yadlin-Weintraub, Marisa, 1991. "Some procedures for the statistical and empirical analyses of probabilistic discrete decisions models," Transportation Research Part B: Methodological, Elsevier, vol. 25(4), pages 215-236, August.
    • Handle: RePEc:eee:transb:v:25:y:1991:i:4:p:215-236
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    1. Roberto Garcia & Gabriel Diaz & Xabiel G. Pañeda & Alejandro G. Tuero & Laura Pozueco & David Melendi & Jose A. Sanchez & Victor Corcoba & Alejandro G. Pañeda, 2017. "Impact of Efficient Driving in Professional Bus Fleets," Energies, MDPI, vol. 10(12), pages 1-25, December.

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