von Rosen, Dietrich
- Department of Energy and Technology, Swedish University of Agricultural Sciences
Abstract
There is a considerable amount of literature dealing with inference about the parameters in a heteroscedastic one-way random-effects ANOVA model. In this paper, we primarily address the problem of improved quadratic estimation of the random-effect variance component. It turns out that such estimators with a smaller mean squared error compared with some standard unbiased quadratic estimators exist under quite general conditions. Improved estimators of the error variance components are also established.
Keywords
variance component estimation; smallest MSE; unbalanced one-way model; random parameters
Published in
Statistics
2010, volume: 44, number: 6, pages: 557-569
Publisher: TAYLOR & FRANCIS LTD
SLU Authors
Associated SLU-program
Wildlife
Biodiversity
Animal health (until May 2010)
Acidification
Agricultural landscape
Climate
Eutrophication
Cross-programme
Lakes and watercourses
Forest
Non-toxic environment
UKÄ Subject classification
Environmental Sciences and Nature Conservation
Agricultural Science
Forest Science
Publication identifier
- DOI: https://doi.org/10.1080/02331880903237106
Permanent link to this page (URI)
https://res.slu.se/id/publ/47763