Parameter Estimation for a Burr XII Distribution under Progressive Censoring

2017 ◽  
Vol 36 (3) ◽  
pp. 259-276 ◽  
Author(s):  
Raj Kamal Maurya ◽  
Yogesh Mani Tripathi ◽  
Manoj Kumar Rastogi ◽  
A. Asgharzadeh
Keyword(s):  
Parameter Estimation ◽  
Progressive Censoring ◽  
Burr Xii Distribution

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.

Interval estimation of a two-parameter Burr-XII distribution under progressive censoring

Statistics ◽  
2009 ◽  
Vol 44 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Shu-Fei Wu ◽  
Chin-Chuan Wu ◽  
Yung-Lin Chen ◽  
Yuh-Ru Yu ◽  
Ying Po Lin
Keyword(s):  
Interval Estimation ◽  
Progressive Censoring ◽  
Burr Xii Distribution ◽  
Two Parameter

Weighted Combination of Prior and Sample Information and Parameter Estimation

Optimization ◽  
1976 ◽  
Vol 7 (5) ◽  
pp. 665-672
Author(s):  
H. Burke ◽  
C. Hennig ◽  
W H. Schmidt
Keyword(s):  
Parameter Estimation ◽  
Sample Information ◽  
Weighted Combination
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