首页   按字顺浏览 期刊浏览 卷期浏览 Exact and Optimum Tests in Unbalanced Split-Plot Designs under Mixed and Random Models
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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