Two-stage procedures for comparing several exponential populations with a control when the scale parameters are unknown and unequal

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)151-164
Journal / PublicationSequential Analysis
Volume9
Issue number2
Publication statusPublished - 1 Jan 1990

Abstract

this paper, two-stage procedures for comparing several exponential populations with a control are developed under the assumption of unknown and unequal variances. Conventional techniques using Bonferroni's inequality as given in Mukhopadyay and Handy (1984) are used to derive multiple comparison results. By exploiting recent techniques given in Lam (1987, 1988), improvements on multiple comparison results are obtained. The results can be applied to selecting the exponential population with the largest (or with the smallest) location parameter using the indifference zone approach in Bechhofer (1954) or the subset selection approach in Gupta (1956). © 1990, Taylor & Francis Group, LLC. All rights reserved.

Research Area(s)

  • comparison, largest location, multiple, selection and ranking, two-stage procedures, unequal scales