View : 270 Download: 0

Full metadata record

DC Field Value Language
dc.contributor.author차지환-
dc.date.accessioned2016-08-28T12:08:56Z-
dc.date.available2016-08-28T12:08:56Z-
dc.date.issued2010-
dc.identifier.issn0018-9529-
dc.identifier.otherOAK-7089-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/221199-
dc.description.abstractBurn-in is a widely used engineering method which is adopted to eliminate defective items before they are shipped to customers or put into operation. In the studies of burn-in, the assumption of a bathtub shaped failure rate function is usually employed, and optimal burn-in procedures are investigated. In this paper, however, we assume that the population is composed of two ordered subpopulations, and optimal burn-in procedures are studied in this context. Two types of risks are defined, and an optimal burn-in procedure is studied which minimizes the weighted risks. The joint optimal solutions for the optimal burn-in procedure, which minimizes the mean number of repairs during the field operation, are also investigated. © 2010 IEEE.-
dc.languageEnglish-
dc.titleStochastically ordered subpopulations and optimal burn-In procedure-
dc.typeArticle-
dc.relation.issue4-
dc.relation.volume59-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage635-
dc.relation.lastpage643-
dc.relation.journaltitleIEEE Transactions on Reliability-
dc.identifier.doi10.1109/TR.2010.2055925-
dc.identifier.wosidWOS:000284844900004-
dc.identifier.scopusid2-s2.0-78649766483-
dc.author.googleCha J.H.-
dc.author.googleFinkelstein M.-
dc.contributor.scopusid차지환(7202455739)-
dc.date.modifydate20170518115033-
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE