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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