DocumentCode
2131036
Title
Statistical Inference for Multi-state Systems: The Weibull Case
Author
Makrides, Andreas ; Karagrigoriou, Alex
Author_Institution
Dept. of Math. & Stat., Univ. of Cyprus, Nicosia, Cyprus
fYear
2013
fDate
2-6 Sept. 2013
Firstpage
747
Lastpage
752
Abstract
Markov processes are widely used for reliability analysis because the number of failures in arbitrary time intervals in many practical cases can be described as a Poisson process and the time up to the failure and repair time are often exponentially distributed. In this work we focus on the estimation of both the intensity rates and transition probabilities via output performance observations using as an alternative distribution, the well known Weibull distribution.
Keywords
Markov processes; Weibull distribution; inference mechanisms; probability; Markov processes; Poisson process; Weibull distribution; intensity rates; multi state systems; reliability analysis; statistical inference; transition probabilities; Estimation; Exponential distribution; Markov processes; Reliability theory; Shape; Weibull distribution; Multi-state system; Reliability theory; Weibull; transition intensities; transition probabilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Availability, Reliability and Security (ARES), 2013 Eighth International Conference on
Conference_Location
Regensburg
Type
conf
DOI
10.1109/ARES.2013.99
Filename
6657315
Link To Document