A competing risks model based on Lomax distributions is considered under progressive
Type-II censoring. Maximum likelihood estimates for the distribution parameters are …

In survival analysis, or in reliability study, an investigator is often interested in the
assessment of a specific risk in the presence of other risk factors. It is well known as the …

In reliability and life testing experiments, the censoring scheme which can balance between
the total time spent for the experiment, the number of units used and the efficiency of …

The aim of this paper is twofold. First we discuss the maximum likelihood estimators of the
unknown parameters of a two-parameter Birnbaum–Saunders distribution when the data are …

Extending the model of progressive Type-II censoring, we introduce an adaption process. It
allows us to choose the next censoring number taking into account both the previous …

In this paper we consider the Bayesian inference of the unknown parameters of the
progressively censored competing risks data, when the lifetime distributions are Weibull. It is …

The present review provides a survey on basic models of ordered data and censoring
mechanisms with a focus on lifetime data, failure data, and reliability applications …

Are the highest sample realizations selected from a larger presample more or less
informative than the same amount of random data? Developing multivariate accuracy for …

In determination of optimum Type-II progressive censoring scheme, the experimenter needs
to carry out an exhaustive search within the set of all admissible censoring schemes. The …

Recently the progressive censoring scheme has been extended for two or more populations.
In this article we consider the joint Type-II progressive censoring (JPC) scheme for two …