New Procedures for Selecting the k-Best Exponential Populations Better than a Standard

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)1-9
Journal / PublicationAmerican Journal of Mathematical and Computational Sciences
Volume3
Issue number1
Online published8 Jan 2018
Publication statusPublished - 2018

Abstract

Suppose several two-parameter exponential populations are given. The scale parameters are assumed unequal and can be either known or unknown. This paper discusses how to select those populations having their location parameters better than a standard under the indifference zone formulation. A striking feature of these procedures is that no statistical tables are needed for their implementation.

Research Area(s)

  • Two-Parameter Exponential Population, Standard Population, Ranking and Selection, Two-Stage Procedure, Indifference Zone Formulation