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

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Martín Apaolaza, Níriam and Pardo Llorente, Leandro (2008) Minimum Phi-divergence estimators for loglinear models with linear constraints and multinomial sampling. Statistical Papers, 49 (1). pp. 15-36. ISSN 0932-5026

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Abstract

In this paper the family of phi-divergence estimators for loglinear models with linear constraints and multinomial sampling is studied. This family is an extension of the maximum likelihood estimator studied by Haber and Brown (1986). A simulation study is presented and some alternative estimators to the maximum likelihood are obtained.


Item Type:Article
Uncontrolled Keywords:loglinear models; multinomial sampling; maximum likelihood estimator; minimum phi-divergence estimator; expected frequencies; maximum-likelihood; chi-square; subject.
Subjects:Sciences > Mathematics > Applied statistics
Sciences > Statistics > Sampling (Statistics)
ID Code:17617
Deposited On:11 Jan 2013 09:46
Last Modified:25 Jul 2018 11:13

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