论文信息 - A Note on Tests for Monotone Failure Rate Based on Incomplete Data

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.

Richard E. Barlow | Frank Proschan | F. Proschan | R. Barlow

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