Results 21 to 30 of about 64,895 (200)
Application of Discrete Choice Models for Exploring Traveller’s Behaviour at Egyptian Transport Network [PDF]
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 for the Austrian Labor Market
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
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
Modeling enterprise location choice decision behavior
This study presents a location choice model that incorporates urban spatial effects for enterprises. A modeling framework is developed to analyze decisions regarding location choice for enterprises using a series of discrete choice models including ...
Nguyen Cao Y
doaj +1 more source
The consumer’s choice among television displays: A multinomial logit approach
The consumer’s choice over a bundle of products depends on observable and unobservable characteristics of goods and consumers. This choice is made in order to maximize utility subject to a budget constraint.
Carlos Giovanni González Espitia +1 more
doaj +5 more sources
Multinomial Logit Model Of Housing Demand In Poland
When compared to mature housing markets, little has been done to understand the nature of demand on emerging housing markets in Central and Eastern Europe and to develop testable models for post-socialist economies.
Głuszak Michał
doaj +1 more source
A very brief survey of regression for categorical data. Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest ...
Cameron, A. Colin
core +2 more sources
Fast Estimation of Multinomial Logit Models: R Package mnlogit
We present the R package mnlogit for estimating multinomial logistic regression models, particularly those involving a large number of categories and variables.
Asad Hasan +2 more
doaj +1 more source
Assortment optimization under the Sequential Multinomial Logit Model [PDF]
We study the assortment optimization problem under the Sequential Multinomial Logit (SML), a discrete choice model that generalizes the multinomial logit (MNL). Under the SML model, products are partitioned into two levels, to capture differences in attractiveness, brand awareness and, or visibility of the products in the market.
Alvaro Flores +2 more
openaire +4 more sources
A warning on separation in multinomial logistic models
Oppenheim et al. (2015) provides the first empirical analysis of insurgent defection during armed rebellion, estimating a series of multinomial logit models of continued rebel participation using a survey of ex-combatants in Colombia. Unfortunately, many
Scott J. Cook +2 more
doaj +1 more source

