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Asymptotic Approximations of the Assignment Model with Stochastic Heterogeneity in the Matching Utilities

Datos Bibliográficos

ID4142196
AutoresGiovanni S Leonardi (0000-0001-7477-1762, International Institute for Applied Systems Analysis, autor de correspondencia), G Leonardi (International Institute for Applied Systems Analysis, Schloss Laxenburg, 2361 Laxenburg, Austria)
Año1985
Volumen17
Número10
Páginas1303-1314
Fecha de publicación1985-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores de la revistaISSN: 0308-518X • E-ISSN: 1472-3409
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1068/a171303
OpenAlexW2063530037
IdiomaEN
Citas recibidas1
Referencias citadas6

A large-scale linear assignment problem is considered under the assumption that the coefficients of the objective function are imperfectly known but have a probability distribution. Asymptotic approximations are derived by using the statistical theory of extremes. It is shown how the resulting approximate problem has an easily computable form, provides a closed-form solution which has the structure of a logit model, and is embedded by a mathematical program whose objective function is related to entropy

Approximations of π · Econometrics · Logit · Mathematical analysis · Mathematical economics · Mathematical optimization · Principle of maximum entropy · Probability distribution · Statistics · Fuzzy Systems and Optimization · Mathematics · Multi-Criteria Decision Making · Optimization and Mathematical Programming · Applied Mathematics

  • Aggregation in Decisionmaking

    Open Access•Aura Reggiani, Stefani et al.•Environment and Planning A…•1986

  • The structure of random utility models

    Open Access•Charles F Manski•Theory and Decision•1977

Obras citantes distintas1
Citas por año0,03
Intervalo de citas1986 - 1986 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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