References
- Abdel-Qadir H, Fang J, Lee DS, et al. Importance of considering competing risks in time-to-event analyses. Circ Cardiovasc Qual Out. 2018;11(7):e004580.
- Cox DR. The analysis of exponentially distributed life-times with two types of failure. J R Stat Soc Ser B Methodol. 1959;B21(2):411–421.
- Crowder M. Classical competing risks. New York: Chapman & Hall/CRC; 2001.
- David HA, Moeschberger ML. The theory of competing risks. London: Griffin; 1978.
- Balasooriya U, Saw SLC, Gadag V. Progressively censored reliability sampling plans for the Weibull distribution. Technometrics. 2000;42(2):160–167.
- Pareek B, Kundu D, Kumar S. On progressively censored competing risks data for Weibull distributions. Comput Stat Data Anal. 2009;53(12):4083–4094.
- Ahmed EA, Alhussain ZA, Salah MM, et al. Inference of progressively type-II censored competing risks data from Chen distribution with an application. J Appl Stat. 2020;47(13–15):2492–2524.
- Cramer E, Schmiedt AB. Progressively type-II censored competing risks data from Lomax distributions. Comput Stat Data Anal. 2011;55(3):1285–1303.
- Qin X, Gui W. Statistical inference of Burr-XII distribution under progressive type-II censored competing risks data with binomial removals. J Comput Appl Math. 2020;378:112922.
- Gupta RD, Kundu D. A new class of weighted exponential distributions. Statistics. 2009;43(6):621–634.
- Azzalini A. A class of distributions which includes the normal ones. Scand J Stat. 1985;12(2):171–178.
- Arnold BC, Beaver RJ. Hidden truncation models. Sankhy. 2000;62(1):23–35.
- Dey S, Ali S, Park C. Weighted exponential distribution: properties and different methods of estimation. J Stat Comput Simul. 2015;85:3641–3661.
- Gunardi. D-optimal designs for weighted exponential and generalized exponential models. Appl Math Sci. 2013;7(22):1067–1079.
- Alqallaf F, Ghitany ME, Agostinelli C. Weighted exponential distribution: different methods of estimations. Appl Math Inf Sci. 2015;9(3):1167–1173.
- Farahani ZSM, Khorram E. Bayesian statistical inference for weighted exponential distribution. Commun Stat Simul Comput. 2014;43(6–7):1362–1384.
- Al-Noor N, Hussein L. Weighted exponential distribution: approximate Bayes estimations with fuzzy data. Al-Nahrain J Sci. 2018;(1):174–185.
- Dey S, Kayal T, Tripathi YM. Statistical inference for the weighted exponential distribution under progressive type-II censoring with binomial removal. Am J Math Manage Sci. 2018;37(2):188–208.
- Meeker WQ, Escobar L. Statistical methods for reliability data. New York: Wiley; 1998.
- Sandhu NBA. A simple simulational algorithm for generating progressive type-II censored samples. Am Stat. 1995;49(2):229–230.
- Zhang C, Shi Y, Wu M. Statistical inference for competing risks model in step-stress partially accelerated life tests with progressively type-I hybrid censored Weibull life data. J Comput Appl Math. 2016;297:65–74.
- Hastings WK. Monte Carlo sampling methods using Markov Chains and their applications. Biometrika. 1970;57(1):97–109.
- Gelfand AE, Smith AFM. Sampling-based approaches to calculating marginal densities. J Amer Statist Assoc. 1990;85(410):398–409.
- Chacko M, Mohan R. Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals. Comput Stat. 2019;34:229–230.
- Albert, Jim. Bayesian computation with R. New York: Springer Science+Business Media; 2007.
- Doganaksoy N, Hahn G, Meeker J, et al. Reliability analysis by failure mode. Qual Prog. 2002;35:47–52.
- Liu F, Shi Y. Inference for a simple step-stress model with progressively censored competing risks data from Weibull distribution. Commun Stat Theory Methods. 2017;46(14):7238–7255.