A contrast of EB, modal and EM-algorithm estimates arising in the one-way analysis of variance situation
Irwin Guttman
Statistics & Probability Letters, 2000, vol. 48, issue 1, 33-58
Abstract:
This paper explores the question of the choice of whether to use a joint posterior or a marginal posterior as basis for analysis with respect to various parameters of interest. It turns out that in the one-way analysis of variance situation there is an optimal choice. Connections with Empirical Bayes estimation is stressed as well as the use of the EM-algorithm. We demonstrate that for the latter, care must be taken with the choice of parameters to be declared "missing", for a wrong choice could lead to inconsistent estimators or estimators with poor mean-square behaviour. The discussion is in the context of one-way analysis of variance.
Keywords: Analysis; of; variance; Posterior; analysis; Modal; estimation; Empirical; Bayes; estimates; EM-algorithm (search for similar items in EconPapers)
Date: 2000
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(99)00189-3
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:48:y:2000:i:1:p:33-58
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().