Experiments with optimal sampling for multinomial logit models.

Author(s)
Sheffi, Y. & Tarem, Z.
Year
Abstract

In this paper a recently published method for optimizing the sample used in estimating discrete-choice models is tested. The work is intended to identify and explore the elements that influence the effectiveness of this methodology in designing sampling procedures for estimating logit models. The investigation includes both anaytical and numerical tests. The results indicate that the sample optimization method can improve the accuracy of the resulting estimates, as compared with random sample. (A)

Request publication

8 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
C 11927 (In: C 11908 S) /71 / IRRD 281570
Source

In: Transportation forecasting : analysis and quantitative methods, Transportation Research Record TRR 944, p. 141-148, 7 ref.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.