Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

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
DOI: 10.2307/2285329
Stable URL: http://www.jstor.org/stable/2285329
Page Count: 6
  • Download ($14.00)
  • Cite this Item
Unequal Precision Multiple Comparisons for Randomized Block Designs Under Nonstandard Conditions
Preview not available

Abstract

A multiple comparison technique for simultaneous inference in the nonstandard randomized block design models considered by Graybill [3] and Scheffe [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.

Page Thumbnails

  • Thumbnail: Page 
429
    429
  • Thumbnail: Page 
430
    430
  • Thumbnail: Page 
431
    431
  • Thumbnail: Page 
432
    432
  • Thumbnail: Page 
433
    433
  • Thumbnail: Page 
434
    434