Comparing methods for risk prediction of multicategory outcomes: dichotomized logistic regression vs. multinomial logit regression [PDF]
BMC Medical Research MethodologyBackground Medical outcomes of interest to clinicians may have multiple categories. Researchers face several options for risk prediction of such outcomes, including dichotomized logistic regression and multinomial logit regression modeling.
Lei Li +3 more
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Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package [PDF]
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
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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
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Multinomial logit death forecasting model
Lietuvos Matematikos Rinkinys, 1999 The multinomial regression logit model is analyzed. The algorithms and software are made for this model in order to get estimation of parameters. Calculations are made using generated population of 1000 cases.
Audronė Jakaitienė
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Variable Selection in General Multinomial Logit Models [PDF]
Computational Statistics & Data Analysis, 2012 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.
Pößnecker, Wolfgang +2 more
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Using Clustering Methods in Multinomial Logit Model for Departure Time Choice [PDF]
Journal of Advanced Transportation, 2020 Travellers have to make some decisions for each trip, and one of them is the choice of departure time. Discrete choice models have been employed as an approach to departure time modelling by many researchers.
Shahriar Afandizadeh Zargari +1 more
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Multinomial Logit Models with Implicit Variable Selection [PDF]
Advances in Data Analysis and Classification, 2010 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
Tutz, Gerhard, Zahid, Faisal Maqbool
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On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices. [PDF]
PLoS ONE, 2017 A semi-nonparametric generalized multinomial logit model, formulated using orthonormal Legendre polynomials to extend the standard Gumbel distribution, is presented in this paper.
Ke Wang +3 more
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TÜRKİYE’DE HANEHALKLARININ BALIK TÜKETİM HARCAMALARI: LOGIT VE MULTINOMIAL LOGIT YAKLAŞIMLARI
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2020 Çalışmada insan sağlığı üzerinde kanıtlanmış olumlu etkileri olan balık tüketiminin Türkiye hanehalkları için belirleyicileri analiz edilmiştir. Bu amaçla Türkiye İstatistik Kurumu'nun 2018 yılı Hanehalkı Bütçe Araştırması Mikro Veri Setinde yer alan 11 ...
Onur Demirel, Selim Adem Hatırlı
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Severity Analysis for Occupational Heat-related Injury Using the Multinomial Logit Model [PDF]
Safety and Health at WorkBackground: Workers are often exposed to hazardous heat due to their work environment, leading to various injuries. As a result of climate change, heat-related injuries (HRIs) are becoming more problematic.
Peiyi Lyu, Siyuan Song
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