scholarly journals Bayesian Two-sample Prediction with Progressively Censored Data for Generalized Exponential Distribution Under Symmetric and Asymmetric Loss Functions

2016 ◽  
Vol 12 (2) ◽  
pp. 179-204
Author(s):  
S. Ghafouri ◽  
A. Habibi Rad ◽  
M. Doostparast ◽  
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◽  
...  
Keyword(s):  
Exponential Distribution ◽  
Censored Data ◽  
Loss Functions ◽  
Generalized Exponential Distribution ◽  
Asymmetric Loss

scholarly journals A BIVARIATE GENERALIZED EXPONENTIAL DISTRIBUTION DERIVED FROM COPULA FUNCTIONS IN THE PRESENCE OF CENSORED DATA AND COVARIATES

2015 ◽  
Vol 35 (1) ◽  
pp. 165-186 ◽  
Author(s):  
Jorge Alberto Achcar ◽  
Fernando Antônio Moala ◽  
Mario Hissamitsu Tarumoto ◽  
Leandro Fernandes Coladello
Keyword(s):  
Exponential Distribution ◽  
Censored Data ◽  
Generalized Exponential Distribution ◽  
Copula Functions

scholarly journals Inference for the Exponential Distribution under Generalized Progressively Hybrid Censored Data from Partially Accelerated Life Tests with a Time Transformation Function

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1510
Author(s):  
Alaa H. Abdel-Hamid ◽  
Atef F. Hashem
Keyword(s):  
Exponential Distribution ◽  
Failure Rate ◽  
Censored Data ◽  
Sufficient Conditions ◽  
Transformation Function ◽  
Point Estimation ◽  
Estimation Methods ◽  
Time Transformation ◽  
Monte Carlo Simulation Study ◽  
Accelerated Life

In this article, the tampered failure rate model is used in partially accelerated life testing. A non-decreasing time function, often called a ‘‘time transformation function", is proposed to tamper the failure rate under design conditions. Different types of the proposed function, which have sufficient conditions in order to be accelerating functions, are investigated. A baseline failure rate of the exponential distribution is considered. Some point estimation methods, as well as approximate confidence intervals, for the parameters involved are discussed based on generalized progressively hybrid censored data. The determination of the optimal stress change time is discussed under two different criteria of optimality. A real dataset is employed to explain the theoretical outcomes discussed in this article. Finally, a Monte Carlo simulation study is carried out to examine the performance of the estimation methods and the optimality criteria.

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