Impacto
Downloads
Downloads per month over past year
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
![]() |
PDF
Restringido a Repository staff only 795kB |
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 |
Origin of downloads
Repository Staff Only: item control page