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 :
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