Design of variables sampling plans based on lifetime-performance index in presence of hybrid censoring scheme

Ritwik Bhattacharya and Muhammad Aslam

Journal of Applied Statistics, 2019, vol. 46, issue 16, 2975-2986

Abstract: Design of variables sampling plans based on the lifetime-performance index for the exponentially distributed hybrid censored data is described in this article. The exact distribution of the maximum likelihood estimator of the exponential lifetime parameter is used to construct the sampling plans. A simulation based algorithm is applied to compute the sampling plans. A comparative study with the existing methods in the literature is also carried out to validate the proposed method. Finally, one real-life data set is analyzed to demonstrate the applicability of the method in practice.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2019.1625877 (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:japsta:v:46:y:2019:i:16:p:2975-2986

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664763.2019.1625877

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().