Minimum power-divergence estimator in three-way contingency tables

DOI10.1080/0094965031000097782zbMath1053.62073OpenAlexW2066155071MaRDI QIDQ4469074

Leandro Pardo, María del Carmen Pardo

Publication date: 14 June 2004

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0094965031000097782

zbMATH Keywords

tablesloglinear models\(\varphi\)-divergence measureordinary minimum power-divergence estimatorpenalized minimum power-divergence estimator

Mathematics Subject Classification ID

Contingency tables (62H17) Statistical aspects of information-theoretic topics (62B10)

Related Items

Minimum \(\phi\)-divergence estimator in logistic regression models ⋮ Variable selection via penalized minimum φ-divergence estimation in logistic regression ⋮ A family of the information criteria using the phi-divergence for categorical data ⋮ Residual analysis and outliers in loglinear models based on phi-divergence statistics ⋮ A more general methodology for fitting global cross-ratio models for discrete longitudinal responses ⋮ Ordinary and penalized minimum power-divergence estimators in two-way contingency tables ⋮ Multinomial goodness-of-fit tests under inlier modification ⋮ Minimum phi-divergence estimators for loglinear models with linear constraints and multinomial sampling ⋮ Minimum disparity estimation: improved efficiency through inlier modification

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