Exact and Optimum Tests in Unbalanced Split-Plot Designs under Mixed and Random Models
作者:
Thomas Mathew,
BimalKumar Sinha,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1992)
卷期:
Volume 87,
issue 417
页码: 192-200
ISSN:0162-1459
年代: 1992
DOI:10.1080/01621459.1992.10475192
出版商: Taylor & Francis Group
关键词: Balanced incomplete block design;Locally best invariant test;Uniformly most powerful invariant test;Uniformly most powerful unbiased test
数据来源: Taylor
摘要:
Unbalanced split-plot designs are considered, where the whole-plot treatments could be replicated an unequal number of times in the design, but each split-plot treatment occurs exactly once in every whole plot. Analysis of such designs is provided when the various effects could be fixed or random. In each case, valid exact tests and optimum invariant tests (whenever they exist) are derived for testing the significance of the various effects. In some cases optimum tests exist only under additional conditions on the design, and these conditions are specified for the various setups.
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