Maximum Likelihood Estimation For The 2-Parameter Weibull Distribution Based On Interval-Data
- 1 April 1985
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Reliability
- Vol. R-34 (1) , 57-59
- https://doi.org/10.1109/tr.1985.5221930
Abstract
MLE techniques are presented for estimating time-to-failure distributions from interval-data. Interval-data consist of adjacent inspection times that surround an unknown failure time. Censored interval-data bound the unknown failure time with only a lower time. The 2-parameter Weibull distribution is examined as the failure distribution. Parameter estimates from interval-data and from the midpoints of the intervals are compared for 6 shapes of the Weibull distribution. The results from Monte Carlo simulation runs are used to examine the s-bias and S-variability of the parameter estimates.Keywords
This publication has 2 references indexed in Scilit:
- Obtaining linear scores from preference pairsCommunications in Statistics, 1974
- Progressively Censored Samples in Life TestingTechnometrics, 1963