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EXPONENTIAL LIFE TEST PROCEDURES WHEN THE DISTRIBUTION HAS MONOTONE FAILURE RATE
CALIFORNIA UNIV BERKELEY OPERATIONS RESEARCH CENTER
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A number of estimates and tests for mean life and other parameters derived under the exponential distribution assumption are studied under the alternative condition that the distribution has increasing decreasing failure rate. The estimates considered are, for the most part, based on censored and truncated samples. It is shown that these estimates generally favor the producer consumer in the IFR DFR case. Properties of order statistics and their spacings from distributions with increasing decreasing failure rate are presented.
APPROVED FOR PUBLIC RELEASE