Estimation of parameters from progressively censored data using EM algorithm
Computational Statistics & Data Analysis
Exact likelihood inference for two exponential populations under joint Type-II censoring
Computational Statistics & Data Analysis
Generalized beta prior models on fraction defective in reliability test planning
Journal of Computational and Applied Mathematics
Computing optimal confidence sets for Pareto models under progressive censoring
Journal of Computational and Applied Mathematics
| Hi-index | 7.29 |
In life testing experiment under the setup of progressive Type II censoring we consider a new flexible scheme, in which the experimenter removes r"1^* (r"1^*@?r"1) units from the experiment if the first failure occurs before some predefined time t"1, and removes r"1 units when the first failure occurs after time t"1. If the second failure occurs before the time t"2,r"2^* surviving items are removed at random, otherwise r"2 surviving units are removed, (r"2^*@?r"2), and so on; finally, after the mth failure, all remaining items are removed. Under this setup of the experiment we study the distributions of failure times, which are entitled as flexible progressive Type II censored (FPC) order statistics. The simulation algorithm for generating FPC samples and an illustrative example for a special case of exponential distribution are also presented. Finally, a Monte Carlo study is also conducted for the expected termination time under FCP.