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On Step-Stress Partially Accelerated Life Testing with Competing Risks Under Progressive Type-II Censoring

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Abstract

In this article, step-stress partially accelerated life testing (SSPALT) with competing risks is studied when the lifetime of test units follows Nadarajah–Haghighi (NH) distribution. The maximum likelihood estimates (MLEs) and Bayes estimates (BEs) of the model parameters are derived under progressive Type-II censoring. Furthermore, the approximate and credible confidence intervals (CIs) of the parameters are computed. A numerical example has been constructed to illustrate the methods used for the study. Finally, simulation studies are performed to demonstrate the accuracy of the MLEs and BEs for the parameters of Nadarajah–Haghighi distribution and the BEs showed better results than MLEs.

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Data Availability

The data sets generated and analysed in this study are not real-world data; they are simulated data created by us.

Code Availability

The codes in this paper represent a new development on the “Mathematica” program, and we will provide it if requested.

References

  1. Olson DL, Shi Y (2007) Introduction to business data mining. McGraw-Hill/Irwin, New York

    Google Scholar 

  2. Shi Y, Tian YJ, Kou G, Peng Y, Li JP (2011) Optimization based data mining: theory and applications. Springer, Berlin

    Book  Google Scholar 

  3. Tien JM (2017) Internet of things, real-time decision making, and artificial intelligence. Ann Data Sci 4(2):149–178

    Article  Google Scholar 

  4. Shi Y (2022) Advances in Big Data Analytics: Theory. Algorithm and Practice, Springer, Singapore

    Book  Google Scholar 

  5. Pascual F (2008) Accelerated life test planning with independent Weibull competing risks. IEEE Trans Rel 57(3):435–444

    Article  Google Scholar 

  6. Han D, Kundu D (2015) Inference for a step-stress model with competing risks for failure from the generalized exponential distribution under type-I censoring. IEEE Trans Reliab 64(1):31–43

    Article  Google Scholar 

  7. Wu M, Shi Y, Zhang C (2017) Statistical analysis of dependent competing risks model in accelerated life testing under progressively hybrid censoring using copula function. Commun Stat Simul Comput 46(5):4004–4017

    Google Scholar 

  8. Ismail A (2013) Estimating the generalized exponential distribution parameters and the accelerating factor under constant-stress partially accelerated life testing with type-II censoring. Strength Mater 45:693–702

    Article  Google Scholar 

  9. Hassan AS, Nassr SG, Pramanik S, Maiti SS (2020) Estimation in Constant Stress Partially Accelerated Life Tests for Weibull Distribution Based on Censored Competing Risks Data. Ann Data Sci 7:45–62

    Article  Google Scholar 

  10. Ismail AA (2014) On designing constant-stress partially accelerated life tests under time censoring. Strength Mater 46:132–139

    Article  Google Scholar 

  11. Hassan AS, Assar SM, Zaky AN (2015) Constant-stress partially accelerated life tests for inverted Weibull distribution with multiple censored data. Int J Adv Stat Prob 3(1):72–82

    Article  Google Scholar 

  12. Abushal TA, Soliman AA (2013) Estimating the Pareto parameters under progressive censoring data for constant-partially accelerated life tests. J Stat Comput Simul 85(5):917–934

    Article  Google Scholar 

  13. Abd-Elfattah AM, Hassan A, Nassr SG (2008) Estimation in step-stress partially accelerated life tests for the Burr type XII Distribution using type-I censoring. Stat Methodol 5:502–514

    Article  Google Scholar 

  14. Ismail AA, Aly HM (2010) Optimal planning of failure-step stress partially accelerated life tests under type-II censoring. J Stat Comput Simul 80:1335–1348

    Article  Google Scholar 

  15. Ismail AA (2014) Likelihood inference for a step-stress partially accelerated life test model with type-I progressively hybrid censored data from Wiebull distribution. J Stat Comput Simul 84:2486–2494

    Article  Google Scholar 

  16. Ismail AA (2012) Estimating the parameters of Weibull distribution and the acceleration factor from hybrid partially accelerated life test. Appl Math Model 36:2920–2925

    Article  Google Scholar 

  17. Ismail AA (2016) Statistical inference for a step-stress partially-accelerated life test model with an adaptive Type-I progressively hybrid censored data from Weibull distribution. Stat Pap 57:271–301

    Article  Google Scholar 

  18. Balakrishnan N, Aggarwala R (2000) Progressive Censoring: Theory, Methods, and Applications. Birkhauser, Boston

    Book  Google Scholar 

  19. Mohie El-Din MM, Abu-Youssef SE, Ali NSA, Abd El-Raheem AM (2018) Inference on constant-stress accelerated life testing based on geometric process for extension of the exponential distribution under type-II progressive censoring. Pak J Stat Oper Res 14(2):233–251

    Article  Google Scholar 

  20. Mohie El-Din MM, Abu-Youssef SE, Ali NSA, Abd El-Raheem AM (2017) Classical and Bayesian inference on progressive-stress accelerated life testing for the extension of the exponential distribution under progressive Type-II censoring. Qual Reliab Eng Int 33:2483–2496

    Article  Google Scholar 

  21. Abdel-Hamid AH (2009) Constant-partially accelerated life tests for Burr type-XII distribution with progressive Type-II censoring. Comput Statist Data Anal 53:2511–2523

    Article  Google Scholar 

  22. Abdel-Hamid AH, AL-Hussaini EK (2011) Inference for a progressive stress model from Weibull distribution under progressive Type-II censoring. J Comp App Math 235:5259–5271

    Article  Google Scholar 

  23. Abd El-Raheem AM, Abu-Moussa MH, Mohie El-Din MM, Hafez EH (2020) Accelerated life tests under Pareto-IV lifetime distribution: real data application and simulation study. Mathematics 8(10):1786

    Article  Google Scholar 

  24. Almetwally EM, Almongy HM, Rastogi MK, Ibrahim M (2020) Maximum product spacing estimation of Weibull distribution under adaptive Type-II progressive censoring schemes. Ann Data Sci 7:257–279

    Article  Google Scholar 

  25. Wu SJ, Huang SR (2017) Planning two or more level constant-stress accelerated life tests with competing risks. Reliab Eng Syst Saf 158:1–8

    Article  Google Scholar 

  26. Liu X, Qiu WS (2011) Modeling and planning of step-stress accelerated life tests with independent competing risks. IEEE Trans Rel 60(4):712–720

    Article  Google Scholar 

  27. Nadarajah S, Haghighi F (2011) An extension of the exponential distribution. Stat 45:543–558

    Article  Google Scholar 

  28. Sana M, Faizan M (2019) Bayesian estimation for Nadarajah-Haghighi distribution based on upper record values. Pak J Stat Oper Res 15(1):217–230

    Article  Google Scholar 

  29. Singh U, Singh SK, Yadav AS (2015) Bayesian estimation for extension of exponential distribution under progressive Type-II censored data using Markov chain Monte Carlo method. J Stat Appl Probab 4:275–283

    Google Scholar 

  30. Dey S, Zhang C, Asgharzadeh A, Ghorbannezhad M (2017) Comparisons of methods of estimation for the NH distribution. Ann Data Sci 4:1095–1114

    Article  Google Scholar 

  31. Selim MA (2018) Estimation and prediction for Nadarajah-Haghighi distribution based on record values. Pak J Stat Oper Res 34(1):77–90

    Google Scholar 

  32. Khan MJS, Sharma A (2018) Shannon entropy and characterization of Nadarajah-Haghighi distribution based on generalized order statistics. J stat adv theory appl 19:43–69

    Article  Google Scholar 

  33. Bhattacharyya GK, Soejoeti Z (1989) A tampered failure rate model for step-stress accelerated life test. Commun Stat Theory Methods 18:1627–1643

    Article  Google Scholar 

  34. Miller R (1981) Survival Analysis. Wiley, New York

    Google Scholar 

  35. Upadhyay SK, Gupta A (2010) A Bayes analysis of modified Weibull distribution via Markov chain Monte Carlo simulation. J Stat Comput Simul 80:241–254

    Article  Google Scholar 

  36. Balakrishnan N, Sandhu A (1995) A Simple simulational algorithm for generating progressive Type-II censored samples. Amer Statist 49:229–230

    Google Scholar 

  37. Afsharnia F (2017) Failure Analysis and Prevention. IntechOpen, London, United Kingdom

    Google Scholar 

Download references

Acknowledgements

The authors are sincerely grateful to the referees and to the Editor-in-Chief for their many constructive comments and careful reading of the paper.

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Authors

Contributions

Sara O. Abd El-Azeem (writing the original draft preparation, validation, conceptualization), Mahmoud H. Abu-Moussa (review and editing, validation, conceptualization, article administration), Moustafa M. Mohie El-Din (review, conceptualization and validation), Lamiaa S. Diab (review, validation and article administration).

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Correspondence to Mahmoud H. Abu-Moussa.

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El-Azeem, S.O.A., Abu-Moussa, M.H., El-Din, M.M.M. et al. On Step-Stress Partially Accelerated Life Testing with Competing Risks Under Progressive Type-II Censoring. Ann. Data. Sci. (2022). https://doi.org/10.1007/s40745-022-00454-0

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  • DOI: https://doi.org/10.1007/s40745-022-00454-0

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