DocumentCode
3472629
Title
Ageing concepts for discrete data — A relook
Author
Dewan, I. ; Sudheesh, K.K.
Author_Institution
Stat Math Unit, Indian Stat. Inst., Delhi, India
fYear
2011
fDate
14-17 Sept. 2011
Firstpage
200
Lastpage
204
Abstract
Many a times a product lifetime can be described through a nonnegative integer valued random variable. For example, a piece of equipment operates in cycles and the experimenter observes the number of cycles successfully completed prior to failure. A frequently referred example is a Xerox machine whose life length would be the total number of copies it produces before the failure. Another example is the length of the hospital stay of patients who were hospitalized due to an accident. We review ageing concepts like ILR, IHR, IHRA, NBU, NBUE, MRL, etc for discrete random variables and look at stochastic orderings between two discrete random variables.
Keywords
failure analysis; integer programming; machinery; production equipment; reliability; remaining life assessment; stochastic processes; Xerox machines; ageing concepts; discrete random variables; equipment; failure; hospital stay; nonnegative integer value; product lifetime; stochastic orderings; Aging; Data models; Hazards; Random variables; Reliability theory; Stochastic processes; Discrete reliability; ageing properties; proportional hazard model; stochastic ordering;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality and Reliability (ICQR), 2011 IEEE International Conference on
Conference_Location
Bangkok
Print_ISBN
978-1-4577-0626-4
Type
conf
DOI
10.1109/ICQR.2011.6031709
Filename
6031709
Link To Document