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Research Articles

Parameter Estimation of Inverted Exponentiated Half-Logistic Distribution under Progressive Type-II Censored Data with Competing Risks

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References

  • Balakrishnan, N., & Aggarwala, R. (2000). Progressive censoring: Theory, methods, and applications. Birkhäuser.
  • Balakrishnan, N., & Sandhu, R. A. (1995). A simple simulational algorithm for generating progressive type-II censored samples. The American Statistician, 49(2), 229–230. https://doi.org/10.2307/2684646
  • Balakrishnan, N., & Wong, K. (1991). Approximate mles for the location and scale parameters of the half-logistic distribution with type-II right-censoring. IEEE Transactions on Reliability, 40(2), 140–145. https://doi.org/10.1109/24.87114
  • Chaudhary, S., & Tomer, S. (2018). Estimation of stress–strength reliability for Maxwell distribution under progressive type-II censoring scheme. International Journal of System Assurance Engineering and Management, 9(5), 1107–1119. https://doi.org/10.1007/s13198-018-0709-x
  • Du, Y., & Gui, W. (2022). Statistical inference of Burr-XII distribution under adaptive type II progressive censored schemes with competing risks. Results in Mathematics, 77(2), 81. https://doi.org/10.1007/s00025-022-01617-4
  • Dutta, S., & Kayal, S. (2022). Bayesian and non-Bayesian inference of Weibull lifetime model based on partially observed competing risks data under unified hybrid censoring scheme. Quality and Reliability Engineering International, 38(7), 3867–3891. https://doi.org/10.1002/qre.3180
  • Dutta, S., & Kayal, S. (2023). Inference of a competing risks model with partially observed failure causes under improved adaptive type-II progressive censoring. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 237(4), 765–780. https://doi.org/10.1177/1748006X221104555
  • Dutta, S., Ng, H. K. T., & Kayal, S. (2023). Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data. Journal of Computational and Applied Mathematics, 422, 114934. https://doi.org/10.1016/j.cam.2022.114934
  • Hall, P., & Horowitz, J. (2013). A simple bootstrap method for constructing nonparametric confidence bands for functions. Annals of Statistics, 41(1), 1892–1921.
  • Kateri, M., & Balakrishnan, N. (2008). Inference for a simple step-stress model with type-II censoring, and Weibull distributed lifetimes. IEEE Transactions on Reliability, 57(4), 616–626. https://doi.org/10.1109/TR.2008.2006292
  • Kim, C., & Han, K. (2010). Estimation of the scale parameter of the half-logistic distribution under progressively type II censored sample. Statistical Papers, 51(2), 375–387. https://doi.org/10.1007/s00362-009-0197-9
  • Lawless, J. (2003). Statistical models and methods for lifetime data. Wiley.
  • Lee, K., & Cho, Y. (2017). Bayesian and maximum likelihood estimations of the inverted exponentiated half logistic distribution under progressive type II censoring. Journal of Applied Statistics, 44(5), 811–832. https://doi.org/10.1080/02664763.2016.1183602
  • Lodhi, C., Tripathi, Y. M., & Bhattacharya, R. (2023). On a progressively censored competing risks data from Gompertz distribution. Communications in Statistics - Simulation and Computation, 52(4), 1278–1299. https://doi.org/10.1080/03610918.2021.1879141
  • Moharib Alsarray, R. M., Kazempoor, J., & Ahmadi Nadi, A. (2023). Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks. Journal of Applied Statistics, 50(4), 945–962. https://doi.org/10.1080/02664763.2021.2003760
  • Okasha, H., & Mustafa, A. (2020). E-Bayesian estimation for the Weibull distribution under adaptive type-I progressive hybrid censored competing risks data. Entropy, 22(8), 903. https://doi.org/10.3390/e22080903
  • Panahi, H., & Asadi, S. (2021). On adaptive progressive hybrid censored Burr type III distribution: Application to the nano droplet dispersion data. Quality Technology & Quantitative Management, 18(2), 179–201. https://doi.org/10.1080/16843703.2020.1806431
  • Panahi, H., & Moradi, N. (2020). Estimation of the inverted exponentiated Rayleigh distribution based on adaptive type II progressive hybrid censored sample. Journal of Computational and Applied Mathematics, 364, 112345. https://doi.org/10.1016/j.cam.2019.112345
  • Park, C. (2005). Parameter estimation of incomplete data in competing risks using the EM algorithm. IEEE Transactions on Reliability, 54(2), 282–290. https://doi.org/10.1109/TR.2005.846360
  • Rastogi, M. K., & Tripathi, Y. M. (2014). Parameter and reliability estimation for an exponentiated half-logistic distribution under progressive type II censoring. Journal of Statistical Computation and Simulation, 84(8), 1711–1727. https://doi.org/10.1080/00949655.2012.762366
  • Ren, J., & Gui, W. (2021). Inference and optimal censoring scheme for progressively type-II censored competing risks model for generalized Rayleigh distribution. Computational Statistics, 36(1), 479–513. https://doi.org/10.1007/s00180-020-01021-y
  • Robert, C. P. (1998). Monte carlo statistical methods. Springer.
  • Sandoh, H., & Fujii, S. (1991). Designing an optimal life test with type I censoring. Naval Research Logistics, 38(1), 23–32. https://doi.org/10.1002/1520-6750(199102)38:1<23::AID-NAV3220380104>3.0.CO;2-V
  • Sen, T., Tripathi, Y. M., & Bhattacharya, R. (2018). Statistical inference and optimum life testing plans under type-II hybrid censoring scheme. Annals of Data Science, 5(4), 679–708. https://doi.org/10.1007/s40745-018-0158-z
  • Singh, U., Gupta, P. K., & Upadhyay, S. K. (2005). Estimation of parameters for exponentiated-Weibull family under type-II censoring scheme. Computational Statistics & Data Analysis, 48(3), 509–523. https://doi.org/10.1016/j.csda.2004.02.009
  • Wang, X., & Gui, W. (2021). Bayesian estimation of entropy for burr type xii distribution under progressive type-ii censored data. Mathematics, 9(4), 313. https://doi.org/10.3390/math9040313
  • Xu, A., & Tang, Y. (2011). Objective Bayesian analysis of accelerated competing failure models under type-I censoring. Computational Statistics & Data Analysis, 55(10), 2830–2839. https://doi.org/10.1016/j.csda.2011.04.009
  • Zhang, F., & Gui, W. (2020). Parameter and reliability inferences of inverted exponentiated half-logistic distribution under the progressive first-failure censoring. Mathematics, 8(5), 708. https://doi.org/10.3390/math8050708

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