Residuals for polytomous logistic regression models based on φ-divergences test statistics

DOI10.1080/02331880701819345zbMath1274.62382OpenAlexW1998900390MaRDI QIDQ3396463

Truc T. Nguyen, Arjun K. Gupta, Leandro Pardo

Publication date: 18 September 2009

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880701819345

zbMATH Keywords

influential observationsmultinomial samplingCook's distanceminimum \(\varphi \)-divergence estimatorPearson's residuals\(\varphi \)-divergence test statistic\(\varphi_2\)-residual based on minimum \(\varphi \)-divergence estimator

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Contingency tables (62H17)

Related Items (4)

Surrogate Residuals for Discrete Choice Models ⋮ Robust semiparametric inference for polytomous logistic regression with complex survey design ⋮ Minimum phi-divergence estimators for multinomial logistic regression with complex sample design ⋮ New Influence Measures in Polytomous Logistic Regression Models Based on Phi-Divergence Measures

Uses Software

• Fahrmeir

Cites Work

• Minimum \(\phi\)-divergence estimator in logistic regression models
• A new family of BAN estimators for polytomous logistic regression models based on \(\varphi\)-diver\-gence measures
• The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)
• Testing in logistic regression models based on \(\phi\)-divergences measures
• Multiple-Group Logistic Regression Diagnostics
• Separate sample logistic discrimination
• Linear Statistical Inference and its Applications
• Multivariate statistical modelling based on generalized linear models.
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