Coefficient of Variation of Topp-Leone Distribution Under Adaptive Type-II Progressive Censoring Scheme: Bayesian and Non-Bayesian Approach

2015 ◽  
Vol 12 (11) ◽  
pp. 4028-4035 ◽  
Author(s):  
G. A Abd-Elmougod ◽  
Mohamed A El-Sayed ◽  
Essam O Abdel-Rahman
Keyword(s):  
Bayesian Approach ◽  
Coefficient Of Variation ◽  
Type Ii ◽  
Progressive Censoring ◽  
Censoring Scheme

scholarly journals Estimation for coefficient of variation of an extension of the exponential distribution under type-II censoring scheme

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 566-571
Author(s):  
Rana A. Bakoban
Keyword(s):  
Exponential Distribution ◽  
Coefficient Of Variation ◽  
Parametric Bootstrap ◽  
Real Data ◽  
Interval Estimate ◽  
Type Ii ◽  
Bayesian Approaches ◽  
Data Set ◽  
Type Ii Censored Data ◽  
Censoring Scheme

AbstractThe coefficient of variation [CV] has several applications in applied statistics. So in this paper, we adopt Bayesian and non-Bayesian approaches for the estimation of CV under type-II censored data from extension exponential distribution [EED]. The point and interval estimate of the CV are obtained for each of the maximum likelihood and parametric bootstrap techniques. Also the Bayesian approach with the help of MCMC method is presented. A real data set is presented and analyzed, hence the obtained results are used to assess the obtained theoretical results.

scholarly journals Estimation for Flexible Weibull Extension-Burr XII Distribution under Adaptive Type-II Progressive Censoring Scheme

2021 ◽  
pp. 1065-1094
Author(s):  
Rania M. Kamal ◽  
Moshira A. Ismail
Keyword(s):  
Real Life ◽  
Likelihood Estimation ◽  
Estimation Procedure ◽  
Type Ii ◽  
Progressive Censoring ◽  
Unknown Parameters ◽  
Data Set ◽  
Burr Xii Distribution ◽  
Credible Intervals ◽  
Censoring Scheme

In this paper, based on an adaptive Type-II progressive censoring scheme, estimation of flexible Weibull extension-Burr XII distribution is discussed. Maximum likelihood estimation and asymptotic confidence intervals of the unknown parameters are obtained. The adaptive Metropolis (AM) method is applied to carry out a Bayesian estimation procedure under symmetric and asymmetric loss functions and calculate the credible intervals. A simulation study is carried out to assess the performance of the estimators. Finally, a real life data set is used for illustration purpose.

scholarly journals Statistical analysis of exponential lifetimes under an adaptive Type-II progressive censoring scheme

2009 ◽  
Vol 56 (8) ◽  
pp. 687-698 ◽  
Author(s):  
Hon Keung Tony Ng ◽  
Debasis Kundu ◽  
Ping Shing Chan
Keyword(s):  
Statistical Analysis ◽  
Type Ii ◽  
Progressive Censoring ◽  
Censoring Scheme

Bayesian optimal life‐testing plan under the balanced two sample type‐II progressive censoring scheme

2020 ◽  
Vol 36 (4) ◽  
pp. 628-640
Author(s):  
Shuvashree Mondal ◽  
Ritwik Bhattacharya ◽  
Biswabrata Pradhan ◽  
Debasis Kundu
Keyword(s):  
Sample Type ◽  
Type Ii ◽  
Life Testing ◽  
Progressive Censoring ◽  
Censoring Scheme ◽  
Testing Plan

On the joint Type-II progressive censoring scheme

2019 ◽  
Vol 49 (4) ◽  
pp. 958-976
Author(s):  
Shuvashree Mondal ◽  
Debasis Kundu
Keyword(s):  
Type Ii ◽  
Progressive Censoring ◽  
Censoring Scheme
Sign in / Sign up

Export Citation Format

Share Document