Testing an increasing failure rate average distribution with censored data
作者:
Tiwari Ram C,
S. Rao Jammalamadaka,
Jyoti N Zalkikar,
期刊:
Statistics
(Taylor Available online 1989)
卷期:
Volume 20,
issue 2
页码: 279-286
ISSN:0233-1888
年代: 1989
DOI:10.1080/02331888908802170
出版商: Akademie-Verlag
关键词: Asymptotic relative efficiency;IFRA;asymptotic normality
数据来源: Taylor
摘要:
A life distribution F is an increasing failure rate average (IFRA) ifFor testing H0: F is exponential, versus H1F is IFRA, but not exponential based on randomly censored data, we propose a test statistics whereis the KAPLAN–MIEER Product limit estimator of F. The asymptotic normality of Jnc(b) is established and an asymptotically distribution – free test is obtained. /The efficiency loss due to ocensoring is studied compared to DESHPANDE'S (1983) test uncensored case. The asymptotic relati ve efficiency with respect to CHEN,HOLLANDER AND LANGBERG'S (1983) test is shoen to be reasonably high
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