In reliability analysis, it is quite common for the failure of any individual or item to be attributable to more than one cause. Moreover, observed data are often censored. Recently, progressive hybrid censoring schemes have become quite popular in life-testing problems and reliability analysis. However, a limitation of the progressive hybrid censoring scheme is that it cannot be applied when f...

A Hybrid censoring scheme is mixture of Type-I and Type-II censoring schemes. Based on hybrid censored samples, this paper deals with the inference on R = P (X > Y ), when X and Y are two independent Weibull distributions with different scale parameters, but having the same shape parameter. The maximum likelihood estimator (MLE), and the approximate MLE (AMLE) of R are obtained. The asymptotic ...

The combination of generalization Type-I hybrid censoring and Type-II schemes, scheme creates a new called Unified scheme. Therefore, in this study, the E-Bayesian estimation parameters inverse Weibull (IW) distribution is obtained under unified scheme, efficiency proposed method was compared with Bayesian estimator using Monte Carlo simulation real data set.

The paper deals with the estimation problem for the generalized Pareto distribution based on progressive type-II censoring with random removals. The number of components removed at each failure time is assumed to follow a binomial distribution. Maximum likelihood estimators and the asymptotic variance-covariance matrix of the estimates are obtained. Finally, a numerical example is given to illu...

Extending the model of progressive Type-II censoring, an adaption process is introduced. It allows to choose the next censoring number taking into account both the previous censoring numbers and the previous failure times. After deriving some distributional results, it is shown that maximum likelihood estimators coincide with those in deterministic progressive Type-II censoring. Finally, infere...

In this study, the stress-strength reliability, R = P(Y < X) where Y represents stress of a component and X component’s strength, is obtained when have two independents generalized Gompertz distribution with different shape parameters under progressive type-II censoring. The Bayes maximum likelihood estimators reliability can not be acquired in closed forms. approximate squared error los...

In this paper, we discuss the statistical inference on the unknown parameters and reliability function of type-II extreme value (EVII) distribution when the observed data are progressively type-II censored. By applying EM algorithm, we obtain maximum likelihood estimates (MLEs). We also suggest approximate maximum likelihood estimators (AMLEs), which have explicit expressions. We provide Bayes ...