Statistical inference for a step-stress partially-accelerated life test model with an adaptive Type-I progressively hybrid censored data from Weibull distribution

2014 ◽  
Vol 57 (2) ◽  
pp. 271-301 ◽  
Author(s):  
Ali A. Ismail
Keyword(s):  
Weibull Distribution ◽  
Statistical Inference ◽  
Censored Data ◽  
Accelerated Life Test ◽  
Type I ◽  
Test Model ◽  
Life Test ◽  
Accelerated Life

scholarly journals Inferences for Exponentiated Gamma Constant-Stress Partially Accelerated Life Test Model Based on Generalized Type-I Hybrid Censored Data

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Abdalla Rabie ◽  
Abd-EL-Baset A. Ahmad ◽  
Thierno Souleymane Barry ◽  
Hassan M. Aljohani ◽  
Nada M. Alfaer ◽  
...  
Keyword(s):  
Censored Data ◽  
Constant Stress ◽  
Accelerated Life Test ◽  
Estimation Methods ◽  
Type I ◽  
Test Model ◽  
Life Test ◽  
Bayesian Estimates ◽  
Accelerated Life ◽  
Generalized Type

In this paper, the exponentiated gamma distribution (EGD) with generalized Type-I hybrid censored data under constant-stress partially accelerated life test (CSPALT) model is considered. The Bayesian and E-Bayesian estimation methods, as well as the maximum likelihood estimation method, are discussed for the parameter of the distribution and the acceleration factor. The E-Bayesian and Bayesian estimates are derived by using the squared error loss (SEL) and the LINEX loss functions. The MCMC method is applied for deriving the Bayesian and then E-Bayesian estimates. Moreover, a real data set is given for the illustrative purpose. After all, an evaluation is performed for the results of the proposed methods.

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