Estimation and Testing Procedures for the Reliability Characteristics of Chen Distribution Based on Type II Censoring and the Sampling Scheme of Bartholomew

Abstract

In this paper, we consider Chen distribution and derive UMVUEs and MLEs of the parameter λ , hazard rate h(t) and the two measures of reliability, namely R(t) = P(X > t), where X denotes the lifetime of an item and P = P(X > Y ), which represents the reliability of an item or system of random strength X subject to random stress Y , under type II censoring scheme and the sampling scheme of Bartholomew . We also develop interval estimates of the reliability measures. Testing procedures for the hypotheses related to different parametric functions have also been developed. A comparative study of different methods of point estimation and average confiddence length has been done through simulation studies. The analysis of a real data set is presented for illustration purpose.

Reliability Estimation for the Inverse Weibull Distribution Under Adaptive Type-II Progressive Hybrid Censoring: Comparative Study

“…In addition, the fitted PDFs and Q-Q plots are plotted for both data sets and reported in Figures 10 -13 also confirm that the IW model is a good fit for Efron's data sets. The three adaptive Type-II censoring schemes for the simulation study are used to generate adaptive Type-II hybrid progressive censored samples, the associated stopping time for each scheme and the generated censored samples are given in Table (16). The estimates of θ are calculated based on m 1 = 26, m 2 = 22.…”