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 :
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