A NOTE ON TESTS FOR MONOTONE FAILURE RATE BASED ON INCOMPLETE DATA

Abstract

Tests for exponential versus IFRA (increasing failure rate average) distributions based on incomplete data are defined and shown to be unbiased. The tests are motivated by a class of tests considered in detail by Bickel and Doksum. Tests for exponential versus IFR distributions based on the ranks of total time on test statistics are also considered.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1968
Accession Number
AD0669111

Entities

People

  • Frank Proschan
  • Richard E. Barlow

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  • University of California, Berkeley

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  • Mathematics

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  • Statistical inference.