A family of non-parametric tests for decreasing mean time to failure with censored data

Sudheesh K. Kattumannil and Deemat C. Mathew

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 1, 203-215

Abstract: In this article, we propose a family of non-parametric tests for testing exponentiality against decreasing mean time to failure class alternatives. We obtain the exact null distribution of the test statistic and calculate the critical values for different sample sizes. We also extend our test to incorporate right censored observations. We discuss the efficiency loss due to censoring and calculate it for some choice of censoring distribution. A simulation result is presented to show the performance of the proposed test. Finally, the test procedure is illustrated using a real data.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1634207 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:50:y:2021:i:1:p:203-215

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2019.1634207

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().