Journal article
The admissibility of the maximum likelihood estimator for decomposable log-linear interaction models for contingency tables
Communications in statistics. Theory and methods, Vol.27(2), pp.473-493
01/01/1998
DOI: 10.1080/03610929808832107
Abstract
It is well known that for certain log-linear interaction models for contingency tables, i.e. those that are decomposable, the maximum likelihood estimator can be found explicitly. In this note we will show that in such cases this estimator is admissible. The proof is based on a stepwise Bayes argument and is a generalization of a proof of the admissibility of the maximum likelihood estimator for the usual unconstrained multinomial model. It is then shown that this result is a special case of a result for discrete exponential families.
Details
- Title: Subtitle
- The admissibility of the maximum likelihood estimator for decomposable log-linear interaction models for contingency tables
- Creators
- Glen Meeden - University of MinnesotaCharles Geyer - University of MinnesotaJoseph Long - Statistics and Actuarial ScienceEiichiro Funa - Kanto Gakuin University
- Resource Type
- Journal article
- Publication Details
- Communications in statistics. Theory and methods, Vol.27(2), pp.473-493
- Publisher
- Marcel Dekker, Inc
- DOI
- 10.1080/03610929808832107
- ISSN
- 0361-0926
- eISSN
- 1532-415X
- Language
- English
- Date published
- 01/01/1998
- Academic Unit
- Biostatistics; Statistics and Actuarial Science
- Record Identifier
- 9984257628902771
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