Comparison of Designs to Estimate Variance Components in a Two-Way Classification Model
作者:
H.D. Muse,
R.L. Anderson,
期刊:
Technometrics
(Taylor Available online 1978)
卷期:
Volume 20,
issue 2
页码: 159-166
ISSN:0040-1706
年代: 1978
DOI:10.1080/00401706.1978.10489641
出版商: Taylor & Francis Group
关键词: Variance components;Unbalanced designs;Maximum likelihood estimators;Iterated least squares;Orthogonal transformations
数据来源: Taylor
摘要:
In this paper several designs featuring planned unbalance are compared, using maximum likelihood (ML), for the estimation of variance components in a two-way classilicatlon model with no interaction. Asymptotic and small sample results are presented. A transformation technique is discussed for simplifying the variance-covariance matrix thereby improving the efficiency of the asymptotic computing routines and rendering the small sample simulation procedures computationally feasible. Evidence is offered in support of the viewpoint that asymptotic findings are consistent with small sample ML results for design selection if the relative asymptotic results for comparing two designs are not too close to one.
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