Confidence Intervals on Linear Combinations of Variance Components in the Unbalanced One-Way Classification
作者:
RichardK. Burdick,
FranklinA. Graybill,
期刊:
Technometrics
(Taylor Available online 1984)
卷期:
Volume 26,
issue 2
页码: 131-136
ISSN:0040-1706
年代: 1984
DOI:10.1080/00401706.1984.10487938
出版商: Taylor & Francis Group
关键词: Linear combinations of variance components;Unbalanced designs;Satterthwaite's method
数据来源: Taylor
摘要:
A problem that can occur in a variance component analysis is the estimation and construction of confidence intervals for linear combinations of the variance components. This article considers the unbalanced one-way classification model and develops a procedure that can be used to construct a confidence interval on a linear combination of the among- and within-group variances. A simulation study suggests that the procedure provides an interval that in most cases has an achieved confidence coefficient at least as great as the stated level.
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