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Unequal Precision Multiple Comparisons for Randomized Block Designs Under Nonstandard Conditions
Govind S. Mudholkar and Perla Subbaiah
Journal of the American Statistical Association
Vol. 71, No. 354 (Jun., 1976), pp. 429-434
Stable URL: http://www.jstor.org/stable/2285329
Page Count: 6
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A multiple comparison technique for simultaneous inference in the nonstandard randomized block design models considered by Graybill  and Scheffe  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 , is appropriate when most contrasts between the treatments are of interest, but a few of the comparisons are of primary importance.
Journal of the American Statistical Association © 1976 American Statistical Association