Residual analysis and outliers in loglinear models based on phi-divergence statistics

DOI10.1016/j.jspi.2006.03.005zbMath1107.62057OpenAlexW2163496050MaRDI QIDQ872095

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

Publication date: 27 March 2007

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2006.03.005

zbMATH Keywords

outliersresidualsloglinear modelsmultinomial samplingCook's distance\(\phi\) -divergence test statisticsminimum \(\phi\) -divergence estimator

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Generalized linear models (logistic models) (62J12) Contingency tables (62H17) Diagnostics, and linear inference and regression (62J20)

Related Items (5)

Residual analysis and outliers in loglinear models based on phi-divergence statistics ⋮ On Christensen's conjecture ⋮ Outlier detection in contingency tables based on minimal patterns ⋮ New families of estimators and test statistics in log-linear models ⋮ Diagnostics in a simple correspondence analysis model: an approach based on Cook's distance for log-linear models

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