Exact inference for a simple step-stress model with Type-I hybrid censored data from the exponential distribution

2007 ◽  
Vol 137 (11) ◽  
pp. 3268-3290 ◽  
Author(s):  
N. Balakrishnan ◽  
Qihao Xie
Keyword(s):  
Exponential Distribution ◽  
Censored Data ◽  
Type I ◽  
Stress Model ◽  
Exact Inference ◽  
Simple Step

scholarly journals Bayes Estimation for a Simple Step-stress Model with Type-I Censored Data from the Geometric Distribution

2012 ◽  
Vol 8 (2) ◽  
pp. 193-214
Author(s):  
A Arefi ◽  
M Razmkhah ◽  
R. Mohtashami Borzadaran ◽  
◽  
◽  
...  
Keyword(s):  
Censored Data ◽  
Geometric Distribution ◽  
Bayes Estimation ◽  
Type I ◽  
Stress Model ◽  
Simple Step

Simple step-stress model for an extension of the exponential distribution with type-I censoring

2015 ◽  
Vol 32 (8) ◽  
pp. 906-920 ◽  
Author(s):  
Firoozeh Haghighi
Keyword(s):  
Exponential Distribution ◽  
Maximum Likelihood Estimates ◽  
Cumulative Exposure ◽  
Exposure Model ◽  
Type I ◽  
Stress Model ◽  
Content Type ◽  
Type I Censoring ◽  
Cumulative Exposure Model ◽  
Simple Step

Purpose – The purpose of this paper is to design a simple step-stress model under type-I censoring when the failure time has an extension of the exponential distribution. Design/methodology/approach – The scale parameter of the distribution is assumed to be a log-linear function of the stress and a cumulative exposure model is hold. The maximum likelihood estimates of the parameters, as well as the corresponding Fisher information matrix are derived. Two real examples are given to show the application of an extension of the exponential distribution in reliability studies and a numerical example is presented to illustrate the method discussed here. Findings – A simple step-stress test under cumulative exposure model and type-I censoring for an extension of the exponential distribution is presented. Originality/value – The work is original.

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