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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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