Title :
Reliability inferences of modulated power-law process #i
Author :
Muralidharan, K.
Author_Institution :
Dept. of Stat., Bhavnagar Univ.
fDate :
3/1/2002 12:00:00 AM
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;
Journal_Title :
Reliability, IEEE Transactions on
