A New Range Statistic for Comparisons of Several Exponential Location Parameters

Abstract

Given k independent exponential populations with unknown and possibly unequal location parameters, with a common but unknown scale parameter, a complete random sample of common size n is drawn from each population. Based on these k samples, this paper proposes a new range statistic for comparing these exponential location parameters by a set of simultaneous confidence intervals. Upper percentage points are given, and the power function is also studied. Other applications in multiple range testing and in ranking and selection problems are noted. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1981
Accession Number
ADA099399

Entities

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  • Hubert J. Chen

Organizations

  • Ohio State University

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  • Energy and Power Technologies

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  • Computer Science
  • Computer Simulations
  • Computers
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  • Intervals
  • Military Research
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  • Order Statistics
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Fields of Study

  • Mathematics

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  • Regression Analysis.