Mixed Generalized Linear Model for Estimating Household Trip Production

Autor:	Chang-Jen Lan, Patricia S. Hu
Rok vydání:	2000
Předmět:	Generalized linear model Hierarchical generalized linear model Mechanical Engineering Statistics Outlier Negative binomial distribution Econometrics Probability distribution Regression analysis Linear probability model Generalized linear mixed model Civil and Structural Engineering Mathematics
Zdroj:	Transportation Research Record: Journal of the Transportation Research Board. 1718:61-67
ISSN:	2169-4052 0361-1981
Popis:	An innovative modeling framework to estimate household trip rates using 1995 Nationwide Personal Transportation Survey data is presented. A generalized linear model with a mixture of negative binomial probability distribution functions was developed on the basis of characteristics observed from the empirical distribution of household daily trips. This model provides a more flexible framework and a better model specification for analyzing household-specific trip production behavior. Compared with traditional least squares-based regression models, the parameter estimates from the proposed model are more efficient. Although the mean accuracies from the two modeling approaches are comparable, the mixed generalized linear model is more robust in identifying outliers due to its unsymmetric prediction bounds derived from more correct model specification.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8be8351abd5da7d066f902fa22db8feb https://doi.org/10.3141/1718-08 Zobrazit plný text záznamu