A NOTE ON TESTS FOR MONOTONE FAILURE RATE BASED ON INCOMPLETE DATA
CALIFORNIA UNIV BERKELEY OPERATIONS RESEARCH CENTER
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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.
- Statistics and Probability
- Operations Research