Salīdzināt metodes

	Modelis ar ligzdotu logistisko izvēli (Nested Logit Discrete Choice Model)	Telpiskās mijiedarbības (gravitācijas) modeļi
Nozare	Ekonometrija	Telpiskā analīze
Saime	Regression model	Regression model
Izcelsmes gads	1985	1971
Autors	Daniel McFadden; Ben-Akiva & Lerman	Alan Wilson (entropy-maximizing family)
Tips	Discrete choice regression model	Model of flows between spatial origins and destinations
Pirmavots	Ben-Akiva, M., & Lerman, S. R. (1985). Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press. ISBN: 978-0-262-02217-0	Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32.
Citi nosaukumi	Tree Logit Model, Hierarchical Logit Model, Generalized Extreme Value Logit, İç İçe Logit Modeli	gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli
Saistītās	3	4
Kopsavilkums	The Nested Logit model is a discrete choice framework that groups mutually exclusive alternatives into hierarchical nests, allowing correlated unobserved utilities within each nest while maintaining independence across nests. Introduced formally by Ben-Akiva and Lerman (1985) and grounded in McFadden's Generalized Extreme Value (GEV) theory, it extends the standard Multinomial Logit by relaxing the restrictive Independence of Irrelevant Alternatives assumption within predefined groups of similar alternatives.	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.