EconPapers    
Economics at your fingertips  
 

A mixture and self-exciting model for software reliability

R. Wang

Statistics & Probability Letters, 2005, vol. 72, issue 3, 187-194

Abstract: This paper develops a model, based on both properties of mixture and self-exciting, that generalizes existing software reliability models. We also offer a model classification method. Details are proven with some specific cases and examples illustrating the results are given.

Keywords: Software; reliability; Intensity; function; Concatenated; failure; rate; Self-exciting; Mixture; Martingale (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(05)00008-8
Full text for ScienceDirect subscribers only

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:eee:stapro:v:72:y:2005:i:3:p:187-194

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:72:y:2005:i:3:p:187-194