Results 11 to 20 of about 9,412 (262)
Journal of Statistical Software, 2017 This paper introduces the package gmnl in R for estimation of multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) data.
Mauricio Sarrias, Ricardo Daziano
doaj +1 more source
Bayesian Inference in the Multinomial Logit Model
Austrian Journal of Statistics, 2016 The multinomial logit model (MNL) possesses a latent variable representation in terms of random variables following a multivariate logistic distribution.
Sylvia Frühwirth-Schnatter +1 more
doaj +1 more source
Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data
Journal of Advanced Transportation, 2022 Mode choice behaviour is often modelled by discrete choice models, in which the utility of each mode is characterized by mode-specific parameters reflecting how strongly the utility of that mode depends on attributes such as travel speed and cost, and a ...
Gijsbert Koen de Clercq +3 more
doaj +1 more source
Comparative Study of Logit and Weibit Model in Travel Mode Choice
IEEE Access, 2020 To quantify travel demand, it is necessary to understand the travelers' mode choice behavior. The Logit model is widely used in travel mode choice because of its closed form.
Dawei Li, Wentong Wu, Yuchen Song
doaj +1 more source
Application of Discrete Choice Models for Exploring Traveller’s Behaviour at Egyptian Transport Network [PDF]
Port Said Engineering Research Journal, 2018 Mode choice models generally form a critical part of the analysis of the travel demand of any study area in any country and have played an important role in transport modelling over the last decades.
Ahmed Semeida
doaj +1 more source
Multinomial logit models with implicit variable selection [PDF]
Advances in Data Analysis and Classification, 2013 Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this paper we are developing a boosting technique called multinomBoost that performs variable selection ...
Faisal Maqbool Zahid, Gerhard Tutz 0001
openaire +2 more sources
Multinomial Logit Models for the Austrian Labor Market
Austrian Journal of Statistics, 2016 In this paper we analyze the selection of industry branches by employees in the Austrian labor market. For this purpose we use the standard logit model and the heteroscedastic extreme value model.
Ivan Pryanishnikov, Katarina Zigova
doaj +1 more source
PEMBELAJARAN MESIN UNTUK MENILAI KELAYAKAN KREDIT PROYEK RETROFIT: MULTINOMIAL LOGIT
Akuntansi dan Teknologi Informasi, 2022 Creditworthiness assessment was one of the first areas to apply machine learning techniques in economics. The creditworthiness of retrofit protection was vital for ESCO in determining the credit scoring.
Eka Sudarmaji +2 more
doaj +1 more source
Migration and job change: A multinomial logit approach [PDF]
Journal of Urban Economics, 1983 A multinomial logit model of residence and job change is developed and estimated using U.S. data from the Michigan Panel Study of Income Dynamics. It is found that both housing demand and job search characteristics are significant determinants of the decision to migrate and that both equilibrium and disequilibrium forces induce migration and job ...
Linneman, Peter D., Graves, Philip E.
openaire +2 more sources
Testing the Multinomial Logit Model [PDF]
, 2000 A general test to check the adequateness of a regression model against nonparametric alternatives is presented. This test procedure is then applied to the well known multinomial logit model and its power is considered in a simulation study. Finally, the multinomial logit model is tested for a real scanner panel data set.
Bartels, K. +4 more
openaire +6 more sources