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Unequal Precision Multiple Comparisons for Randomized Block Designs under Nonstandard Conditions

 

作者: GovindS. Mudholkar,   Perla Subbaiah,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1976)
卷期: Volume 71, issue 354  

页码: 429-434

 

ISSN:0162-1459

 

年代: 1976

 

DOI:10.1080/01621459.1976.10480364

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A multiple comparison technique for simultaneous inference in the nonstandard randomized block design models considered by Graybill [3] and Scheffé [11] is developed. Its computation and properties are discussed in terms of a clinical trial. The technique involving a number of independent tests with possibly unequal sizes, not the well-known Bonferroni tests [5], is appropriate when most contrasts between the treatments are of interest, but a few of the comparisons are of primary importance.

 

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