Acceptance Sampling Plans Under Truncated Life Tests Assuming a Half Exponential Power Life Distribution

Gui Wenhao ()
Additional contact information
Gui Wenhao: Dept. of Mathematics and Statistics, University of Minnesota Duluth, Duluth, MN 55812, USA

Stochastics and Quality Control, 2013, vol. 28, issue 2, 77-88

Abstract: In this paper, we consider acceptance sampling plans assuming a half exponential power life distribution and a life test that is truncated at a preassigned time. For various acceptance numbers, confidence levels and values of the ratio of the true mean lifetime to the specified mean life, we determine the minimum sample size necessary to ensure a certain mean lifetime. The operating characteristic function of the sampling plans and the associated producer's risks are derived and also discussed. We illustrate the use of the acceptance sampling plans based on displayed tables with some numerical examples.

Keywords: Random Lifetime; Operating Characteristic Function Value; Producer's Risk; Truncated Life Test; Random Lifetime; Operating Characteristic Function Value; Producer's Risk; Truncated Life Test (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/eqc-2013-0015 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

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:bpj:ecqcon:v:28:y:2013:i:2:p:12:n:2

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html

DOI: 10.1515/eqc-2013-0015

Access Statistics for this article

Stochastics and Quality Control is currently edited by George P. Yanev

More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().