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Multinomialna logistička regresija×Modeli prostorne interakcije (gravitacioni modeli)×
OblastEkonometrijaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka19741971
TvoracMcFaddenAlan Wilson (entropy-maximizing family)
TipMultinomial logistic regressionModel of flows between spatial origins and destinations
Temeljni izvorMcFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗
Drugi nazivimultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyongravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Srodne54
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.Spatial interaction models predict the volume of flows — migrants, commuters, shoppers, trade, trips — between origins and destinations as a function of the size of each place and the distance or cost separating them. By analogy to Newton's gravity, interaction rises with the 'mass' of origin and destination and falls with separation, and Wilson's 1971 entropy-maximizing family put these models on a rigorous footing for transport, migration, and retail analysis.
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ScholarGateUporedite metode: Multinomial Logit · Spatial Interaction Model. Preuzeto 2026-06-16 sa https://scholargate.app/sr/compare