Title :
On estimating the mean time to failure with unknown censoring
Author :
Shanmugam, Ramalingam ; Richards, Dale O.
Author_Institution :
Colorado Univ., Denver, CO, USA
fDate :
8/1/1989 12:00:00 AM
Abstract :
Sometimes, in reliability studies, neither the life of all failed units nor the number of units still functioning is known at any specific time due to problems such as administrative delays. Consequently, one might consider an estimate of the mean time to failure (MTTF) based only on known failure times of part of the units. An investigation is conducted into the bias and efficiency of such an estimator for either an exponential or a Weibull distribution. In the exponential case, exact expressions are obtained, and, for the Weibull case, a Monte Carlo simulation was used. The estimate of MTTF based on known lifetimes of failed units alone underestimates with smaller variance and higher mean squared error than does the estimate based on the total accumulated lifetime of both failed and surviving units
Keywords :
Bayes methods; Monte Carlo methods; failure analysis; reliability theory; statistical analysis; Bayes method; MTTF; Monte Carlo simulation; Weibull distribution; estimator; exponential distribution; mean time to failure; reliability; unknown censoring; Delay estimation; Exponential distribution; Failure analysis; Life estimation; Lifetime estimation; Maximum likelihood estimation; Reliability engineering; Statistical analysis; Statistical distributions; Weibull distribution;
Journal_Title :
Reliability, IEEE Transactions on