References
- Al-Khedhairi, A., and A. El-Gohary. 2008. A new class of bivariate Gompertz distributions. International Journal of Mathematics Analysis 2 (5):235–53.
- Asimit, A., V. E. Furman, and R. Vernic. 2016. Statistical inference for a new class of multivariate Pareto distributions. Communications in Statistics—Simulation and Computation 45 (2):456–71. doi: https://doi.org/10.1080/03610918.2013.861627.
- Bemis, B., L. J. Bain, and J. J. Higgins. 1972. Estimation and hypothesis testing for the parameters of a bivariate exponential distribution. Journal of the American Statistical Association 67 (340):927–9. doi: https://doi.org/10.2307/2284664.
- Dey, A. K., B. Paul, and D. Kundu. 2018. An EM algorithm for absolute continuous bivariate Pareto distribution. arXiv:1608.02199v4 [Stat.CO].
- Dinse, G. E. 1982. Non-parametric estimation of partially incomplete time and types of failure data. Biometrics 38:417–31.
- El-Sherpieny, E. A., S. A. Ibrahim, and R. E. Bedar. 2013. A new bivariate generalized Gompertz distribution. Asian Journal of Applied Sciences 1–4:2321–0893.
- Jiang, R., and D. N. P. Murthy. 1998. Mixture of Weibull distributions-parametric characterization of failure rate function. Applied Stochastic Models and Data Analysis 14 (1):47–65. doi: https://doi.org/10.1002/(SICI)1099-0747(199803)14:1<47::AID-ASM306>3.0.CO;2-E.
- Kundu, D., and A. K. Dey. 2009. Estimating the parameters of the Marshall-Olkin Bivariate Weibull distribution by EM algorithm. Computational Statistics & Data Analysis 53 (4):956–65. doi: https://doi.org/10.1016/j.csda.2008.11.009.
- Kundu, D., and R. D. Gupta. 2009. Bivariate generalized exponential distribution. Journal of Multivariate Analysis 100 (4):581–93. doi: https://doi.org/10.1016/j.jmva.2008.06.012.
- Louis, T. A. 1982. Finding the observed information matrix when using the EM algorithm. Journal of the Royal Statistical Society: Series B (Methodological) 44:226–33. doi: https://doi.org/10.1111/j.2517-6161.1982.tb01203.x.
- Marshall, A. W., and I. Olkin. 1997. A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika 84 (3):641–52. doi: https://doi.org/10.1093/biomet/84.3.641.
- McGilchrist, C. A., and C. W. Aisbett. 1991. Regression with frailty in survival analysis. Biometrics 47 (2):461–6.
- Mirhosseini, S. M., M. Amini, D. Kundu, and A. Dolati. 2015. On a new absolutely continuous bivariate generalized exponential distribution. Statistical Methods & Applications 24 (1):61–83. doi: https://doi.org/10.1007/s10260-014-0276-5.
- Mudholkar, G. S., and D. K. Srivastava. 1993. Exponentiated Weibull family for analyzing bathtub failure-rate data. IEEE Transactions on Reliability 42 (2):299–302. doi: https://doi.org/10.1109/24.229504.
- Murthy, D. N. P., M. Xie, and R. Jiang. 2004. Weibull models. Hoboken, NJ: Wiley.
- Nadarajah, S., G. M. Cordeiro, and E. M. M. Ortega. 2011. General results for the beta-modified Weibull distribution. Journal of Statistical Computation and Simulation 81 (10):1211–32. doi: https://doi.org/10.1080/00949651003796343.
- Nandi, S., and I. Dewan. 2010. An EM algorithm for estimating the parameters of bivariate Weibull distribution under random censoring. Computational Statistics & Data Analysis 54 (6):1559–69. doi: https://doi.org/10.1016/j.csda.2010.01.004.
- Peng, X., and Z. Yan. 2014. Estimation and application for a new extended Weibull distribution. Reliability Engineering & System Safety 121:34–42. doi: https://doi.org/10.1016/j.ress.2013.07.007.
- Pham, H., and C. D. Lai. 2007. On recent generalizations of the Weibull distribution. IEEE Transactions on Reliability 56 (3):454–8. doi: https://doi.org/10.1109/TR.2007.903352.
- Sarhan, A., and N. Balakrishnan. 2007. A new class of bivariate distribution and its mixture. Journal of Multivariate Analysis 98 (7):1508–27. doi: https://doi.org/10.1016/j.jmva.2006.07.007.
- Singla, N., K. Jain, and S. K. Sharma. 2012. The Beta generalized Weibull distribution: Properties and applications. Reliability Engineering & System Safety 102:5–15. doi: https://doi.org/10.1016/j.ress.2012.02.003.
- Xie, M., and C. D. Lai. 1995. Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function. Reliability Engineering and System Safety 52 (1):87–93. doi: https://doi.org/10.1016/0951-8320(95)00149-2.