Abstract
In this paper, constant-stress accelerated life test is assumed when the lifetime of test units follows an extension of the exponential distribution. Based on progressive censoring, the maximum likelihood estimates (MLEs) and Bayes estimates (BEs) of the model parameters are obtained. The BEs are obtained based on both non-informative and informative priors. In addition, the approximate, bootstrap and credible confidence intervals (CIs) of the estimators are constructed. Moreover, a real dataset is analyzed to illustrate the proposed procedures. Furthermore, the real dataset is used to show that extension of the exponential distribution can be a better model than Weibull distribution and generalized exponential distribution. Finally, simulation studies are carried out to investigate the accuracy of the MLEs and BEs for the parameters involved.
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Abdel-Hamid, A.H.: Constant-partially accelerated life tests for Burr type-XII distribution with progressive type-II censoring. Comput. Stat. Data Anal. 53, 2511–2523 (2009)
Bai, D.S., Kim, M.S., Lee, S.H.: Optimum simple step-stress accelerated life tests with censoring. IEEE Trans. Reliab. 38, 528–532 (1989)
Balakrishnan, N., Aggarwala, R.: Progressive Censoring: Theory, Methods, and Applications. Birkhauser, Boston (2000)
Balakrishnan, N., Kundu, D., Ng, H.K.T., Kannan, N.: Point and interval estimation for a simple step-stress model with type-II censoring. J. Qual. Technol. 39, 35–47 (2007)
Efron, B., Tibshirani, R.J.: An Introduction to the Bootstrap. Chapman and Hall, London (1993)
Gouno, E., Sen, A., Balakrishnan, N.: Optimal step-stress test under progressive type-I censoring. IEEE Trans. Reliab. 53, 388–393 (2004)
Guan, Q., Tang, Y., Fu, J., Xu, A.: Optimal multiple constant-stress accelerated life tests for generalized exponential distribution. Commun. Stat. Simul. Comput. 43, 1852–1865 (2014)
Jaheen, Z.F., Moustafa, H.M., Abd El-Monem, G.H.: Bayes inference in constant partially accelerated life tests for the generalized exponential distribution with progressive censoring. Commun. Stat. Theor. Methods 43, 2973–2988 (2014)
Kim, C.M., Bai, D.S.: Analysis of accelerated life test data under two failure modes. Int. J. Reliab. Qual. Saf. Eng. 9, 111–125 (2002)
Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., Teller, E.: Equations of state calculations by fast computing machine. J. Chem. Phys. 21, 1087–1091 (1953)
Miller, R.: Survival Analysis. Wiley, New York (1981)
Miller, R., Nelson, W.: Optimum simple step-stress plans for accelerated life testing. IEEE Trans. Reliab. 32, 59–65 (1983)
Mohie El-Din, M.M., Abu-Youssef, S.E., Ali, N.S.A., Abd El-Raheem, A.M.: Estimation in step-stress accelerated life tests for Weibull distribution with progressive first-failure censoring. J. Stat. Appl. Probab. 3, 403–411 (2015)
Mohie El-Din, M.M., Abu-Youssef, S.E., Ali, N.S.A., Abd El-Raheem, A.M.: Estimation in step-stress accelerated life tests for extension of the exponential distribution with progressive censoring. Adv. Stat. 2015, 1–13 (2015)
Nadarajah, S., Haghighi, F.: An extension of the exponential distribution. Statistics 45, 543–558 (2011)
Nelson, W.: Accelerated Testing: Statistical Models, Test Plans and Data Analysis. Wiley, New York (1990)
Pakyari, R., Balakrishnan, N.: A general purpose approximate goodness-of-fit test for progressively type-II censored data. IEEE Trans. Reliab. 61, 238–243 (2012)
Singh, S.K., Singh, U., Sharma, V.K.: Bayesian estimation and prediction for the generalized Lindley distribution under asymmetric loss function. Hacet. J. Math. Stat. 43, 661–678 (2014)
Watkins, A.J., John, A.M.: On constant stress accelerated life tests terminated by type-II censoring at one of the stress levels. J. Stat. Plan. Inference 138, 768–786 (2008)
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El-Din, M.M.M., Abu-Youssef, S.E., Ali, N.S.A. et al. Estimation in constant-stress accelerated life tests for extension of the exponential distribution under progressive censoring. METRON 74, 253–273 (2016). https://doi.org/10.1007/s40300-016-0089-4
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DOI: https://doi.org/10.1007/s40300-016-0089-4