Results 11 to 20 of about 59,027 (199)
Adequacy of Multinomial Logit Model with Nominal Responses over Binary Logit Model [PDF]
Trends in Applied Sciences Research, 2011 The aim of this study was to fit a multinomial logit model and check whether any gain achieved by this complicated model over binary logit model. It is quite common in practice, the categorical response have more than two levels. Multinomial logit model is a straightforward extension of binary logit model.
Midi, Habshah +2 more
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Variable selection in general multinomial logit models [PDF]
Computational Statistics & Data Analysis, 2015 The use of the multinomial logit model is typically restricted to applications with few predictors, because in high-dimensional settings maximum likelihood estimates tend to deteriorate. In this paper we are proposing a sparsity-inducing penalty that accounts for the special structure of multinomial models. In contrast to existing methods, it penalizes
Tutz, Gerhard +2 more
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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 ...
Zahid, Faisal Maqbool, Tutz, Gerhard
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Categorical Data Analysis Using a Skewed Weibull Regression Model
Entropy, 2018 In this paper, we present a Weibull link (skewed) model for categorical response data arising from binomial as well as multinomial model. We show that, for such types of categorical data, the most commonly used models (logit, probit and complementary log–
Renault Caron +3 more
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Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain
Journal of Advanced Transportation, 2021 Exploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy.
Xiaowei Li +4 more
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Multinomial logit random effects models [PDF]
Statistical Modelling, 2001 This article presents a general approach for logit random effects modelling of clustered ordinal and nominal responses. We review multinomial logit random effects models in a unified form as multivariate generalized linear mixed models. Maximum likelihood estimation utilizes adaptive Gauss-Hermite quadrature within a quasi-Newton maximization ...
Hartzel, Jonathan +2 more
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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
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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
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Economics of agritourism development: An Iranian experience
Economic Journal of Emerging Markets, 2020 Agritourism is known as a means of identification and realization of various on-farm and off-farm attractions existing in rural areas. This study aims at exploring the main determinants of agritourism development in Iran.
Mohammad Hossein Askarpour +2 more
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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
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