A diagnostic of influential cases based on the information complexity criteria in generalized linear mixed models

DOI10.1080/03610926.2014.911902zbMath1397.62270OpenAlexW2293144200MaRDI QIDQ2816834

Junfeng Shang

Publication date: 26 August 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://figshare.com/articles/journal_contribution/A_Diagnostic_of_Influential_Cases_Based_on_the_Information_Complexity_Criteria_in_Generalized_Linear_Mixed_Models/1580064

zbMATH Keywords

Fisher information matrixlogistic regression modelGLMMcase-deletionICOMP

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Statistical aspects of information-theoretic topics (62B10) Diagnostics, and linear inference and regression (62J20)

Cites Work

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• Information complexity criteria for detecting influential observations in dynamic multivariate linear models using the genetic algorithm
• On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models
• Estimation in generalized linear models with random effects
• A new look at the statistical model identification

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