Estimation of multicomponent stress–strength reliability for exponentiated Gumbel distribution

References

• Birnbaum ZW. On a use of the Mann-Whitney statistic. In: Proceedings of the third Berkeley symposium on mathematical statistics and probability; Vol. 1; University of California Press, Berkeley, CA; 1956. p. 13–17.
   Google Scholar
• Nadarajah S, Kotz S. Reliability for some bivariate exponential distributions. Math Probl Eng. 2006;2006:1–14.
   Web of Science ®Google Scholar
• Ahmed AA, Batah FSM. On the estimation of stress–strength model reliability parameter of power Rayleigh distribution. Iraqi J Sci. 2023;64:809–822. doi: 10.24996/ijs.2023.64.2.27
   Google Scholar
• Zhu T. Inference of reliability in a multicomponent stress–strength model under generalized progressive hybrid censoring. J Comput Appl Math. 2023;418:114602. doi: 10.1016/j.cam.2022.114602
   Web of Science ®Google Scholar
• Jana N, Bera S. Interval estimation of multicomponent stress–strength reliability based on inverse Weibull distribution. Math Comput Simul. 2022;191:95–119. doi: 10.1016/j.matcom.2021.07.026
   Web of Science ®Google Scholar
• Hassan AS, Al-Omari A, Nagy HF. Stress–strength reliability for the generalized inverted exponential distribution using MRSS. Iran J Sci Technol Trans A: Sci. 2021;45(2):641–659. doi: 10.1007/s40995-020-01033-9
   Web of Science ®Google Scholar
• Fayyazishishavan E, Kılıç Depren S. Inference of stress–strength reliability for two-parameter of exponentiated Gumbel distribution based on lower record values. PLoS ONE. 2021;16(4):e0249028. doi: 10.1371/journal.pone.0249028
   PubMed Web of Science ®Google Scholar
• Bashir N, Bashir R, Jan TR, et al. Estimation of stress strength reliability in single component models for different distributions. Curr J Appl Sci Technol. 2019;34(6):1–10. doi: 10.9734/cjast/2019/v34i630158
   Google Scholar
• Rao GS, Rosaiah K, Babu MS. Estimation of stress–strength reliability from exponentiated Fréchet distribution. Int J Adv Manuf Technol. 2016;86(9-12):3041–3049. doi: 10.1007/s00170-016-8404-z
   Web of Science ®Google Scholar
• Singh SK, Singh U, Yaday A, et al. On the estimation of stress strength reliability parameter of inverted exponential distribution. Int J Sci World. 2015;3(1):98–112. doi: 10.14419/ijsw.v3i1
   Google Scholar
• Chacko M, Mathew S. Inference on P(X<Y) for bivariate normal distribution based on ranked set sample. Metron. 2019;77(3):239–252. doi: 10.1007/s40300-019-00154-5
   Web of Science ®Google Scholar
• Baklizi A. Inference on Pr(X<Y) in the two-parameter weibull model based on records. Int Sch Res Notices. 2012;2012:1–11.
   Google Scholar
• Nadar M, Kizilaslan F. Classical and Bayesian estimation of reliability in multicomponent stress–strength model based on Weibull distribution. Revista Colombiana De Estadística. 2015;38(2):467–484. doi: 10.15446/rce.v38n2.51674
   Google Scholar
• Maurya RK, Tripathi YM, Kayal T. Reliability estimation in a multicomponent stress–strength model based on inverse weibull distribution. Sankhya B. 2021;84:1–38.
   Google Scholar
• Azhad QJ, Arshad M, Khandelwal N. Statistical inference of reliability in multicomponent stress strength model for pareto distribution based on upper record values. Int J Model Simul. 2022;42(2):319–334. doi: 10.1080/02286203.2021.1891496
   Google Scholar
• Rasekhi M, Saber MM, Yousof HM. Bayesian and classical inference of reliability in multicomponent stress–strength under the generalized logistic model. Commun Stat Theory Methods. 2020;50(21):5114–5125. doi: 10.1080/03610926.2020.1726958
   Web of Science ®Google Scholar
• Kotb M, Raqab M. Estimation of reliability for multi-component stress–strength model based on modified Weibull distribution. Stat Pap. 2021;62(6):2763–2797. doi: 10.1007/s00362-020-01213-0
   Web of Science ®Google Scholar
• Jha MK, Dey S, Tripathi YM. Reliability estimation in a multicomponent stress–strength based on unit-Gompertz distribution. Int J Qual Reliab Manag. 2020;37(3):428–450.
   Web of Science ®Google Scholar
• Kayal T, Tripathi YM, Dey S, et al. On estimating the reliability in a multicomponent stress–strength model based on chen distribution. Commun Stat Theory Methods. 2020;49(10):2429–2447. doi: 10.1080/03610926.2019.1576886
   Web of Science ®Google Scholar
• Hassan AS, Nagy HF, Muhammed HZ, et al. Estimation of multicomponent stress–strength reliability following weibull distribution based on upper record values. J Taibah Univ Sci. 2020;14(1):244–253. doi: 10.1080/16583655.2020.1721751
   Web of Science ®Google Scholar
• Mahto AK, Tripathi YM. Estimation of reliability in a multicomponent stress–strength model for inverted exponentiated Rayleigh distribution under progressive censoring. OPSEARCH. 2020;57(4):1043–1069. doi: 10.1007/s12597-020-00448-7
   Web of Science ®Google Scholar
• Kizilaslan F, Nadar M. Classical and bayesian estimation of reliability in multicomponent stress–strength model based on Weibull distribution. Revista Colombiana De Estadística. 2015;38(2):467–484. doi: 10.15446/rce.v38n2.51674
   Google Scholar
• Nadarajah S. The exponentiated Gumbel distribution with climate application. Environmetrics: J Int Environmetrics Soc. 2006;17(1):13–23. doi: 10.1002/(ISSN)1099-095X
   Web of Science ®Google Scholar
• Persson K, Stockholm S, Rydén J. Exponentiated Gumbel distribution for estimation of return levels of significant wave height. J Environ Stat. 2010;1(3):1–12.
   Google Scholar
• Kakade C, Shirke D, Kundu D. Inference for P(Y<X) in exponentiated Gumbel distribution. J Stat Appl. 2008;3(1-2):121–133.
   Google Scholar
• Tarvirdizade B. Estimation of Pr(X>Y) for exponentiated Gumbel distribution based on lower record values. Istatistik J Turk Stat Assoc. 2013;6(3):103–109.
   Google Scholar
• Kumari A, Kumar S, Kumar K. Multicomponent stress–strength reliability estimation of inverse pareto lifetime model under progressively censored data. Int J Agric Stat Sci. 2022;18(2):475–486.
   Web of Science ®Google Scholar
• Saini S, Tomer S, Garg R. Inference of multicomponent stress–strength reliability following Topp-Leone distribution using progressively censored data. J Appl Stat. 2023;50(7):1538–1567. doi: 10.1080/02664763.2022.2032621
   PubMed Web of Science ®Google Scholar
• Jha MK, Dey S, Alotaibi RM, et al. Reliability estimation of a multicomponent stress–strength model for unit gompertz distribution under progressive type II censoring. Qual Reliab Eng Int. 2020;36(3):965–987. doi: 10.1002/qre.v36.3
   Web of Science ®Google Scholar
• Alshenawy R, Sabry MA H, Almetwally EM, et al. Product spacing of stress–strength under progressive hybrid censored for exponentiated-Gumbel distribution. Computers, Materials & Continua. 2021;66(3):2973–2995. doi: 10.32604/cmc.2021.014289
   Web of Science ®Google Scholar
• Xia Z, Yu J, Cheng L, et al. Study on the breaking strength of jute fibres using modified Weibull distribution. Compos Part A: Appl Sci Manuf. 2009;40(1):54–59. doi: 10.1016/j.compositesa.2008.10.001
   Web of Science ®Google Scholar
• Saraçoğlu B, Kinaci I, Kundu D. On estimation of R=P(Y<X) for exponential distribution under progressive type-II censoring. J Stat Comput Simul. 2012;82(5):729–744. doi: 10.1080/00949655.2010.551772
   Web of Science ®Google Scholar
• Efron B. Logistic regression, survival analysis, and the Kaplan–Meier curve. J Am Stat Assoc. 1988;83(402):414–425. doi: 10.1080/01621459.1988.10478612
   Web of Science ®Google Scholar
• Iranmanesh A, Vajargah K, Hasanzadeh M. On the estimation of stress strength reliability parameter of inverted gamma distribution. Math Sci. 2018;12:71–77.
   Google Scholar