DocumentCode
3534475
Title
Fitting the log-linear rate to Poisson processes
Author
Vallarino, Carlos R.
Author_Institution
IBM Corp., San Jose, CA, USA
fYear
1989
fDate
24-26 Jan 1989
Firstpage
257
Lastpage
261
Abstract
Given a sample of repairable systems, the author models its failure behavior. Each system is assumed to be an independent realization of a nonhomogeneous Poisson process with underlying log-linear intensity function. The author finds the maximum-likelihood estimates of the unknown parameters, presenting the likelihood function and its derivatives. Accurate starting values are obtained through a graphical method for the case of an increasing intensity. Finally, a set of real data is borrowed from R.E. Barlow and B. Davis (1978) to illustrate the techniques
Keywords
failure analysis; graph theory; reliability; reliability theory; statistical analysis; failure behavior; graphical method; independent realization; log-linear rate; maximum-likelihood estimates; nonhomogeneous Poisson process; repairable systems; starting values; Gaussian processes; Hazards; Manufacturing industries; Maximum likelihood estimation; Parametric statistics; Stochastic processes; Virtual manufacturing; Warranties;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 1989. Proceedings., Annual
Conference_Location
Atlanta, GA
Type
conf
DOI
10.1109/ARMS.1989.49612
Filename
49612
Link To Document