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Logistička regresija s više kategorija×Probit regresijski model×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19742018
TvoracMcFaddenGreene (textbook treatment); classical discrete-choice modelling
VrstaMultinomial logistic regressionBinary discrete-choice model
Temeljni izvorMcFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503Greene, W. H. (2018). Econometric Analysis (8th ed.). Pearson. ISBN: 978-0134461366
Drugi nazivimultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyonprobit regression, normit model, Probit Modeli
Srodne55
SažetakMultinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category.The probit model is a regression method for a binary (0/1) outcome that maps a linear index of the predictors through the standard normal cumulative distribution function to produce a probability. It is a classical discrete-choice alternative to logistic regression, developed in standard econometrics treatments such as Greene's Econometric Analysis (2018).
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ScholarGateUsporedite metode: Multinomial Logit · Probit Model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare