DocumentCode
1386775
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
Volume
40
Issue
2
fYear
1991
fDate
6/1/1991 12:00:00 AM
Firstpage
152
Lastpage
156
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;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/24.87116
Filename
87116
Link To Document