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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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Official URL: http://www.springerlink.com/content/f315q18422041r4u/fulltext.pdf
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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