89 research outputs found
Parameter induction in continuous univariate distributions: Well-established G families
Prediction of Censored Weibull Lifetimes in a Simple Step-Stress Plan With Khamis-Higgins Model
In this paper, we discuss the prediction of the lifetimes to failure of censored units from Weibull distribution for a simple step-stress plan under Khamis-Higgins model. Different methods of prediction are considered including maximum likelihood predictor, modifified maximum likelihood predictor, conditional median predictor, and best unbiased predictor. Another aspect of prediction is constructing prediction limits for future lifetimes of the censored units. The pivotal quantity, highest conditional density, and shortest-length based methods are discussed in this paper. Monte Carlo simulations are performed to compare all the prediction methods developed here and one real data set is analyzed for illustrative purposes.</jats:p
Estimation of reliability for multi-component stress–strength model based on modified Weibull distribution
Estimation of Pr<i>(<i>Y</i> < <i>X</i>)</i> for the two-parameter generalized exponential records
Prediction of future failures times based on Type-I hybrid censored samples of random sample sizes
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