https://orcid.org/0000-0001-5696-0391
References
- R. Aggarwala, Advances in life testing: Progressive censoring and generalized distribution, Ph.D. thesis, Hamilton, ON, McMaster University, 1996.
- N. Balakrishnan, Progressive censoring methodology: An appraisal, Test 16 (2007), pp. 290–296.
- N. Balakrishnan and R. Aggarwala, Progressive Censoring Theory, Methods and Applications, Birkhäuser, Boston, MA, 2000.
- N. Balakrishnan and R.A. Sandhu, A simple simulational algorithm for generating progressive type-II censored samples, Amer. Statist. Assoc. 49 (1995), pp. 229–230.
- M. Basirat, S. Baratpour, and J. Ahmadi, Statistical inferences for stress–strength in the proportional hazard models based on progressive type–II censored samples, J. Stat. Comput. Simul. 85 (2015), pp. 431–449.
- S. Banerjee and D.K. Dey, Semi parametric proportional odds models for spatially correlated survival data, Lifetime Data. Anal. 11 (2005), pp. 175–191.
- G. Casella and R.L. Berger, Statistical Inference, Wadsworth & Brooks/Cole, Pacific Grove, CA, 1990.
- M. Chen and Q. Shao, Monte Carlo estimation of Bayesian credible and HPD intervals, Comput. Graph. Stat. 8 (1999), pp. 69–92.
- B. Efron, Logistic regression, survival analysis, and the Kaplan–Meier curve, Am. Stat. Assoc. 83 (1988), pp. 414–25.
- B. Efron and R. Tibshirani, An Introduction to the Bootstrap, Chapman and Hall, New York (NY), 1993.
- S. Erylmaz, On system reliability in stress–strength setup, Stat. Probab. Lett. 80 (2010), pp. 834–839.
- R.C. Gupta, M.E. Ghitany, and D.K. Al-Mutairi, Estimation of reliability from Marshall–Olkin extended lomax distributions, J. Stat. Comput. Simul. 80 (2010), pp. 937–947.
- D.R. Hunter and K. Lange, Comparing estimates in the proportional odds model, Ann. Inst. Stat. Math. 54 (2002), pp. 155–168.
- D. Kundu and R. Gupta, Estimating of P(Y<X) for the generalized exponential distribution, Metrika 61 (2005), pp. 291–308.
- D. Kundu and M. Raqab, Estimation of P(Y<X) for three parameter Weibull distribution, Statist. Probab. Lett. 79 (2009), pp. 1839–1846.
- D.V. Lindley, Approximate Bayesian methods, Trabajos. Estadist. Invest. Oper. 31 (1980), pp. 223–245.
- E. Lehmann, Elements of Large-Sample Theory, Springer, New York, Inc, 1999.
- A.W. Marshall and I. Olkin, A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families, Biometrika 84 (1997), pp. 641–652.
- S.A. Murphy, A.J. Rossini, and A.W. Van derVarrt, Maximum likelihood estimation in the proportional odds model, J. Amer. Statist. Assoc. 92 (1997), pp. 968–976.
- A. Sadeghpour, M. Salehi, and A. Nezakati, Estimation of the stress–strength reliability using lower record ranked set sampling scheme under the generalized exponential distribution, Stat. Comput. Simul. 90 (2020), pp. 51–74.
- A. Sadeghpour, M. Salehi, and A. Nezakati, Comparison of two sampling schemes in estimating the stress–strength reliability under the proportional reversed hazard rate model, Stat. Optimiz. Inf. Comput (2020). doi: https://doi.org/10.19139/soic-2310-5070-781.
- M. Salehi and J. Ahmadi, Estimation of Stress–strength reliability using record ranked set sampling scheme from the exponential distribution, Filomat 29 (2015), pp. 1149–1162.
- D. Zeng, D.Y. Lin, and G. Yin, Maximum likelihood estimation for the proportional odds model with random effects, J. Amer. Statist. Assoc. 100 (2005), pp. 470–483.