Parametric inferences using dependent competing risks data with partially observed failure causes from MOBK distribution under unified hybrid censoring

References

• Dutta S, Ng HKT, Kayal S. Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data. J Comput Appl Math. 2023;422:Article ID 114934. doi: 10.1016/j.cam.2022.114934
   Web of Science ®Google Scholar
• Koley A, Kundu D. On generalized progressive hybrid censoring in presence of competing risks. Metrika. 2017;80(4):401–426. doi: 10.1007/s00184-017-0611-6
   Web of Science ®Google Scholar
• Panwar M, Tomer S, Kumar J. Competing risk analysis of failure censored data from Maxwell distribution. Int J Agricult Stat Sci. 2015;11(1):29–34.
   Google Scholar
• Wang L, Li H. Inference for exponential competing risks data under generalized progressive hybrid censoring. Commun Stat Simul Comput. 2022;51(3):1255–1271. doi: 10.1080/03610918.2019.1667388
   Web of Science ®Google Scholar
• Kundu D, Gupta AK. Bayes estimation for the Marshall–Olkin bivariate Weibull distribution. Comput Stat Data Anal. 2013;57(1):271–281. doi: 10.1016/j.csda.2012.06.002
   Web of Science ®Google Scholar
• Feizjavadian SH, Hashemi R. Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall–Olkin bivariate Weibull distribution. Comput Stat Data Anal. 2015;82:19–34. doi: 10.1016/j.csda.2014.08.002
   Web of Science ®Google Scholar
• Liang W, Huanyu L, Jin'ge M. Inference for dependence competing risks from bivariate exponential model under generalized progressive hybrid censoring with partially observed failure causes. J Syst Eng Electron. 2019;30(1):201–208. doi: 10.21629/JSEE.2019.01.19
   Web of Science ®Google Scholar
• Wang L, Li M, Tripathi YM. Inference for dependent competing risks from bivariate Kumaraswamy distribution under generalized progressive hybrid censoring. Commun Stat Simul Comput. 2022;51(6):3100–3123. doi: 10.1080/03610918.2019.1708929
   Web of Science ®Google Scholar
• Guan Q, Tang Y, Xu A. Objective bayesian analysis for bivariate Marshall-Olkin exponential distribution. Comput Stat Data Anal. 2013;64:299–313. doi: 10.1016/j.csda.2013.03.021
   Web of Science ®Google Scholar
• Du Y, Gui W. Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution. J Appl Stat. 2022;49(12):3120–3140. doi: 10.1080/02664763.2021.1937961
   PubMed Web of Science ®Google Scholar
• Wang L, Tripathi YM, Dey S, et al. Inference for dependence competing risks with partially observed failure causes from bivariate Gompertz distribution under generalized progressive hybrid censoring. Qual Reliab Eng Int. 2021;37(3):1150–1172. doi: 10.1002/qre.v37.3
   Web of Science ®Google Scholar
• Epstein B. Truncated life tests in the exponential case. Ann Math Stat. 1954;25(3):555–564. doi: 10.1214/aoms/1177728723
   Google Scholar
• Childs A, Chandrasekar B, Balakrishnan N, et al. Exact likelihood inference based on type-I and type-II hybrid censored samples from the exponential distribution. Ann Inst Stat Math. 2003;55(2):319–330.
   Web of Science ®Google Scholar
• Chandrasekar B, Childs A, Balakrishnan N. Exact likelihood inference for the exponential distribution under generalized type-I and type-II hybrid censoring. Nav Res Logist (NRL). 2004;51(7):994–1004. doi: 10.1002/(ISSN)1520-6750
   Web of Science ®Google Scholar
• Balakrishnan N, Kundu D. Hybrid censoring: models, inferential results and applications. Comput Stat Data Anal. 2013;57(1):166–209. doi: 10.1016/j.csda.2012.03.025
   Web of Science ®Google Scholar
• Balakrishnan N, Rasouli A, Farsipour NS. Exact likelihood inference based on an unified hybrid censored sample from the exponential distribution. J Stat Comput Simul. 2008;78(5):475–488. doi: 10.1080/00949650601158336
   Web of Science ®Google Scholar
• Habibi Rad A, Izanlo M. An em algorithm for estimating the parameters of the generalized exponential distribution under unified hybrid censored data. J Stat Res Iran JSRI. 2012;8(2):215–228. doi: 10.18869/acadpub.jsri.8.2.215
   Google Scholar
• Panahi H, Sayyareh A. Estimation and prediction for a unified hybrid-censored Burr type XII distribution. J Stat Comput Simul. 2016;86(1):55–73. doi: 10.1080/00949655.2014.993985
   Web of Science ®Google Scholar
• Ateya SF. Estimation under inverse Weibull distribution based on Balakrishnan's unified hybrid censored scheme. Commun Stat Simul Comput. 2017;46(5):3645–3666.
   Web of Science ®Google Scholar
• Sen T, Bhattacharya R, Pradhan B, et al. Statistical inference and Bayesian optimal life-testing plans under type-II unified hybrid censoring scheme. Qual Reliab Eng Int. 2021;37(1):78–89. doi: 10.1002/qre.v37.1
   Web of Science ®Google Scholar
• Kumaraswamy P. A generalized probability density function for double-bounded random processes. J Hydrol. 1980;46(1-2):79–88. doi: 10.1016/0022-1694(80)90036-0
   Web of Science ®Google Scholar
• Jones M. Kumaraswamy's distribution: a beta-type distribution with some tractability advantages. Stat Methodol. 2009;6(1):70–81. doi: 10.1016/j.stamet.2008.04.001
   Google Scholar
• Sindhu TN, Feroze N, Aslam M. Bayesian analysis of the Kumaraswamy distribution under failure censoring sampling scheme. Int J Adv Sci Technol. 2013;51:39–58.
   Google Scholar
• Barreto-Souza W, Lemonte AJ. Bivariate Kumaraswamy distribution: properties and a new method to generate bivariate classes. Statistics. 2013;47(6):1321–1342. doi: 10.1080/02331888.2012.694446
   Web of Science ®Google Scholar
• Cai J, Shi Y, Liu B. Analysis of incomplete data in the presence of dependent competing risks from Marshall–Olkin bivariate Weibull distribution under progressive hybrid censoring. Commun Stat – Theory Methods. 2017;46(13):6497–6511. doi: 10.1080/03610926.2015.1129420
   Web of Science ®Google Scholar
• Meintanis SG. Test of fit for Marshall–Olkin distributions with applications. J Stat Plan Inference. 2007;137(12):3954–3963. doi: 10.1016/j.jspi.2007.04.013
   Web of Science ®Google Scholar
• Dutta S, Kayal S. Bayesian and non-Bayesian inference of Weibull lifetime model based on partially observed competing risks data under unified hybrid censoring scheme. Qual Reliab Eng Int. 2022;38(7):3867–3891. doi: 10.1002/qre.v38.7
   Web of Science ®Google Scholar
• Dutta S, Kayal S. Inference of a competing risks model with partially observed failure causes under improved adaptive Type-II progressive censoring. In: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability; 2022. p. 1748006X221104555.
   Google Scholar