A robust nonparametric procedure to estimate response functions for binary choice models
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Publication:583768
DOI10.1016/0167-6377(90)90040-CzbMath0692.62040OpenAlexW2082643010MaRDI QIDQ583768
Antonie Stam, Cliff T. Ragsdale
Publication date: 1990
Published in: Operations Research Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-6377(90)90040-c
classificationmaximum likelihood estimationdiscriminationnonlinear programming applicationslogistic functionbinary choice modelsestimating response functionshyperbolic tangent transformationtwo-phase nonparametric procedure
Related Items (2)
Linear goal programming in estimation of classification probability ⋮ Nonparametric identification and estimation of score auctions in multi-attribute procurement
Uses Software
Cites Work
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- A comparison of a robust mixed-integer approach to existing methods for establishing classification rules for the discriminant problem
- Simple but powerful goal programming models for discriminant problems
- Linear goal programming in estimation of classification probability
- The Simplex Method for Quadratic Programming
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