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Multinominale logistische regressie×Ruimtelijke Interactie (Zwaartekracht) Modellen×
VakgebiedEconometrieRuimtelijke analyse
FamilieRegression modelRegression model
Jaar van ontstaan19741971
GrondleggerMcFaddenAlan Wilson (entropy-maximizing family)
TypeMultinomial logistic regressionModel of flows between spatial origins and destinations
Oorspronkelijke bronMcFadden, 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 ↗
Aliassenmultinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyongravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Verwant54
SamenvattingMultinomial 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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ScholarGateMethoden vergelijken: Multinomial Logit · Spatial Interaction Model. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare