Title :
A class of tests for testing an increasing failure-rate-average distribution with randomly right-censored data
Author :
Wells, Martin T. ; Tiwari, Ram C.
Author_Institution :
Dept. of Econ. & Social Stat., Cornell Univ., Ithaca, NY, USA
fDate :
6/1/1991 12:00:00 AM
Abstract :
For testing exponentiality versus (nonexponential) increasing failure rate average (IFRA) alternatives (which are nonexponential) using the randomly right censored data, a class of test statistics based on a functional of the Kaplan-Meier estimator is proposed. The asymptotic relative efficiencies of tests from this class with respect to other test statistics are derived. The efficiency loss due to censoring is studied. The proposed tests are applied to published survival data
Keywords :
failure analysis; life testing; reliability theory; statistical analysis; Kaplan-Meier estimator; asymptotic relative efficiencies; efficiency loss; exponentiality testing; increasing failure-rate-average distribution; life testing; randomly right-censored data; reliability; survival data; test statistics; Clinical trials; Exponential distribution; Failure analysis; Life testing; Probability distribution; Random variables; Reliability theory; Statistical analysis; Statistical distributions;
Journal_Title :
Reliability, IEEE Transactions on
