Entropy is a useful indicator of information content that has been used in number applications. The Log-Logistic (LL) distribution probability often employed survival analysis. This paper addresses the problem estimating multiple entropy metrics for an LL using progressive type II censoring. We derive formulas six different types measurements. To obtain estimators proposed measures, maximum lik...

A hybrid censoring scheme is a mixture of type I and type II censoring schemes. When $n$ items are placed on a life test, the experiment terminates under type I or type II hybrid censoring scheme if either a pre-fixed censoring time T or the rth (1<=r<=n&nbsp;is fixed) failure is first or later observed, respectively. In this paper, we investigate the decomposition of entropy in both hybrid cen...

In this paper, we discuss dierent predictors of times to failure of units censored in multiple stages in a progressively censored  sample from proportional hazard rate models. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are considered. We also consider Bayesian point predictors for the times to failure of units. A numerical example and a Monte C...

We present here a simple probabilistic approach for determining an optimal progressive censoring scheme by defining probability structure on the set of feasible solutions. Given initial solution, new updated solution is computed within structure. This will be especially useful when cardinality solutions large. The validation proposed demonstrated comparing so determined with one obtained exhaus...

Suppose that n independent and identically distributed items have been placed in a life-test with Progressive Type-II censoring scheme (R1, R2, ..., Rm). In this paper, we investigate some characterizations and ordering results based on the residual lifetimes of the remaining items following the k failure in the test.