Estimation for a simple step–stress model with type–II hybrid censored data from the exponentiated Rayleigh distribution

2020 ◽  
Vol 15 (1) ◽  
pp. 37-52
Author(s):  
R. E. Ibrahim ◽  
H. E. Semary
Keyword(s):  
Censored Data ◽  
Rayleigh Distribution ◽  
Stress Model ◽  
Type Ii ◽  
Simple Step

scholarly journals Point and Interval Estimation for a Simple Step-Stress Model with Type-II Censoring

2007 ◽  
Vol 39 (1) ◽  
pp. 35-47 ◽  
Author(s):  
N. Balakrishnan ◽  
Debasis Kundu ◽  
Keung Tony Ng ◽  
Nandini Kannan
Keyword(s):  
Interval Estimation ◽  
Stress Model ◽  
Type Ii ◽  
Type Ii Censoring ◽  
Simple Step

scholarly journals Bayesian Estimation Based on Rayleigh Progressive Type II Censored Data with Binomial Removals

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Reza Azimi ◽  
Farhad Yaghmaei
Keyword(s):  
Censored Data ◽  
Failure Time ◽  
Simulation Method ◽  
Reliability Function ◽  
Rayleigh Distribution ◽  
Type Ii ◽  
Monte Carlo Simulation Method ◽  
Bayesian Procedures ◽  
Progressive Type ◽  
Type Ii Censored Data

This study considers the estimation problem for the parameter and reliability function of Rayleigh distribution under progressive type II censoring with random removals, where the number of units removed at each failure time has a binomial distribution. We use the maximum likelihood and Bayesian procedures to obtain the estimators of parameter and reliability function of Rayleigh distribution. We also construct the confidence intervals for the parameter of Rayleigh distribution. Monte Carlo simulation method is used to generate a progressive type II censored data with binomial removals from Rayleigh distribution, and then these data are used to compute the point and interval estimations of the parameter and compare both the methods used with different random schemes.

Sign in / Sign up

Export Citation Format

Share Document