New family of estimators for the loglinear model of quasi-independence based on power-divergence measures

DOI10.1080/10629360600890154zbMath1123.62021OpenAlexW2119961945MaRDI QIDQ5425733

Angel Felipe, Leandro Pardo

Publication date: 14 November 2007

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

Full work available at URL: https://doi.org/10.1080/10629360600890154

zbMATH Keywords

maximum likelihoodquasi-independenceloglinear modelminimum power-divergence estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (1)

Minimum phi-divergence estimators for loglinear models with linear constraints and multinomial sampling

Cites Work

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• On minimum cramer-von mises-norm parameter estimation
• Deficiency

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