Analysis of multivariate longitudinal substance use outcomes using multivariate mixed cumulative logit model [PDF]
BMC Medical Research Methodology, 2021 Background Longitudinal assessments of usage are often conducted for multiple substances (e.g., cigarettes, alcohol and marijuana) and research interests are often focused on the inter-substance association.
Xiaolei Lin +2 more
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Axiomatizations of the Mixed Logit Model [PDF]
, 2017 A mixed logit function, also known as a random-coefficients logit function, is an integral of logit functions. The mixed logit model is one of the most widely used models in the analysis of discrete choice.
Saito, Kota
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Logit-normal mixed model for Indian monsoon precipitation [PDF]
Nonlinear Processes in Geophysics, 2014 Describing the nature and variability of Indian monsoon precipitation is a topic of much debate in the current literature. We suggest the use of a generalized linear mixed model (GLMM), specifically, the logit-normal mixed model, to describe the ...
L. R. Dietz, S. Chatterjee
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Identifying Risk Factors for Autos and Trucks on Highway-Railroad Grade Crossings Based on Mixed Logit Model. [PDF]
Int J Environ Res Public Health, 2022 Wu L, Shen Q, Li G.
europepmc +3 more sources
Mixed logit model and classification tree to investigate cyclists crash severity
Traffic Safety ResearchGrowing concerns about emissions, urban traffic congestion, and the promotion of an active lifestyle are inducing more people to choose bike for their daily commute. The increase in bike usage underscores the need for improving the cyclist’s safety. Our
Antonella Scarano +4 more
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Estimating nonparametric mixed logit models via EM algorithm [PDF]
, 2010 The aim of this paper is to describe a Stata routine for the nonparametric estimation of mixed logit models using a Expectation-Maximisation algorithm. We also compare the performance of our estimator with respect to more typical parametric mixed logit ...
Daniele Pacifico
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PEMODELAN RESPON MULTINOMIAL MENGGUNAKAN MODEL MIXED LOGIT [PDF]
, 2009 Model multinomial logit (MNL) disusun berdasarkan asumsi bahwa komponen errornya berdistribusi nilai ektreme tipe I (Gumbel) dan saling independen. Jika asumsi independen tidak terpenuhi akan mengakibatkan estimatornya menjadi bias.
Jaka, Nugraha
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Econometric analysis of consumers' preference heterogeneity for yoghurt and ice cream products in Tanzania: A latent class model and mixed logit model. [PDF]
HeliyonKadigi ML, Philip D, Mlay GI, Mdoe NS.
europepmc +2 more sources
Standard and Shuffled Halton sequences in a Mixed Logit Model [PDF]
SSRN Electronic Journal, 2008 Modeling consumer choice in different areas has lead to an increase use of discrete choice models. Probit or Multinomial Logit Models are often the base of further empirical research of consumer choice. In some of these models the equations to solve have
Staus, Alexander
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Integrated Mixed Logit and Latent Variable Models [PDF]
SSRN Electronic Journal, 2012 A traditional discrete choice model assumes that an individual's decision-making process is based on utility maximization and that the systematic part of the utility function depends on some observable attributes and covariates. These attributes and covariates however can only explain part of the utility and a large part remains unexplained.
Vishva Manohara Danthurebandara +2 more
openaire +3 more sources