The robustness of the logistic risk function

DOI10.1080/03610918808812647zbMath0695.62104OpenAlexW1973957015MaRDI QIDQ3471436

Alula Hadgu, Camilla A. Brooks, Arthur M. Jones, Rhonda R. Clark

Publication date: 1988

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918808812647

zbMATH Keywords

discriminant functionMonte Carlo simulationmaximum likelihoodlogistic regression coefficient

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (1)

A simulation study of properties of a regressive logistic model

Uses Software

• SAS

Cites Work

• On the existence of maximum likelihood estimates in logistic regression models
• Expected Error Rates for Logistic Regression Versus Normal Discriminant Analysis
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis
• LOGISTIC REGRESSION COMPARED TO NORMAL DISCRIMINATION FOR NON-NORMAL POPULATIONS‘
• The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
• Choosing Between Logistic Regression and Discriminant Analysis
• Classification Based on Dichotomous and Continuous Variables
• Estimation of the probability of an event as a function of several independent variables

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