DocumentCode
1270850
Title
Reliability inferences of modulated power-law process #i
Author
Muralidharan, K.
Author_Institution
Dept. of Stat., Bhavnagar Univ.
Volume
51
Issue
1
fYear
2002
fDate
3/1/2002 12:00:00 AM
Firstpage
23
Lastpage
26
Abstract
The PLP (power-law process) is often used to model failure data from repairable systems, when both renewal type behavior and time trends are present. This paper considers the reliability inferences of modulated-PLP models. The maximum likelihood estimate and the uniformly minimum variance unbiased estimate of Modulated PLP #i are derived and computed numerically. Two examples are given
Keywords
failure analysis; inference mechanisms; maintenance engineering; maximum likelihood estimation; reliability theory; failure data modelling; maximum likelihood estimate; modulated power-law process; reliability inferences; renewal type behavior; repairable system; time trend; uniformly minimum variance; Electric shock; Maximum likelihood estimation; Power system modeling; Power system reliability; Probability density function; Random variables; Reliability theory; Shape; Statistics;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/24.994901
Filename
994901
Link To Document