In this study, we investigated the sequential Bayesian inference of the Weibull distribution
parameters of the components of a system the remaining useful life of which can be …

In reliability analysis, lifetime data may be heavily censored and this censoring can have an
adverse effect on parameter estimates. Using maximum-likelihood estimation (MLE) to …

Weibull distribution and block censoring scheme play an important role in life testing and
reliability engineering. The block censoring can improve the efficiency of test by allowing …

The reliability for Weibull distribution with homogeneous heavily censored data is analyzed
in this study. The universal model of heavily censored data and existing methods, including …

Parameter estimation on heavily censored data is a challenging problem, and new methods
are needed. This paper aims to address this issue. It is based on a relation between the …

This paper studies the scheduling problem for the flexible manufacturing systems (FMSs)
under uncertain machine failure disruptions, where machine allocations and job schedules …

The widely used Weibull distribution could be generalized to be q‐Weibull distribution. To fill
out the gap in existing literature, the reliability is studied for q‐Weibull distribution with …

This paper provides four well-known statistical inferences for the principal parameters
regarding the two-parameter Weibull distribution including its hazard, quantile, and survival …

Inverse Weibull (IW) distribution is widely used due to its non-monotonic hazard function. For
the IW distribution, existing research on statistical inference has mostly focused on censored …

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid
censoring, an important topic in censoring methodology with numerous applications. The …