Design and Analysis of Accelerated Life Testing and its Application Under Rebate Warranty
Showkat Ahmad Lone () and
Aquil Ahmed
Additional contact information
Showkat Ahmad Lone: Saudi Electronic University
Aquil Ahmed: Aligarh Muslim University
Sankhya A: The Indian Journal of Statistics, 2021, vol. 83, issue 1, No 16, 393-407
Abstract:
Abstract The study deals with the advancement of accelerated life testing in the field of product warranty. The expected total cost and expected cost rate for age replacement is estimated under warranty policy using accelerated life testing (ALT) plans. Under constant stress, the lifetimes of the units are assumed to follow generalised exponential distribution. The estimation process is carried through maximum likelihood estimation method. Also, the Age Replacement Policy under Pro-rate Rebate Warranty is discussed. Finally, an application example is presented to illustrate the theoretical results.
Keywords: Accelerated life testing; rebate warranty; generalised exponential distribution; numerical example.; Primary 62N05; Secondary 90B25 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13171-019-00193-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:sankha:v:83:y:2021:i:1:d:10.1007_s13171-019-00193-0
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/13171
DOI: 10.1007/s13171-019-00193-0
Access Statistics for this article
Sankhya A: The Indian Journal of Statistics is currently edited by Dipak Dey
More articles in Sankhya A: The Indian Journal of Statistics from Springer, Indian Statistical Institute
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().