[1] Abd El-Raheem, A.M., Hosny, M., & Abu-Moussa, M.H (2021). On Progressive Censored Competing Risks Data: Real Data Application and Simulation Study. Mathematics, 9(15), 1805.
[2] Abushal, T. A., Soliman, A. A., & Abd-Elmougod, G. A. (2021). Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme. Alexandria Engineering Journal.
[3] Balakrishnan, N., Castilla, E., Martín, N., & Pardo, L. (2019). Robust estimators and test statistics for one-shot device testing under the exponential distribution. IEEE Transactions on Information Theory, 65(5), 3080-3096.
[4] Balakrishnan, N., & Ling, M. H. (2013). Expectation maximization algorithm for one shot device accelerated life testing with Weibull lifetimes, and variable parameters over stress. IEEE Transactions on Reliability, 62(2), 537-551.
[5] Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B (Methodological), 39(1), 1-22.
[6] Escobar, L. A., & Meeker, W. Q. (2006). A review of accelerated test model. Statistical science, 21(4), 552–577.
[7] Fan, T. H., Balakrishnan, N. & Chang, C. C. (2009). The Bayesian approach for highly reliable electro-explosive devices using one-shot device testing. Journal of Statistical Computation and Simulation, 79(9), 1143-1154.
[8] Farbod, D., Ebrahimpour, M., & Ghayourmoradi, Z. (2010). Maximum likelihood estimation for distribution generated by Cauchy stable law. International Journal of Mathematics & Computation, 7(J10), 22-28.
[9] Hakamipour, N. (2022). Parameter estimation using EM algorithm and test design optimization of constant stress accelerated life test with non-constant parameters under type-I progressive censoring. Journal of decisions and operations research, 6(4), 570-591. (Persian)
[10] Hakamipour, N. (2021). Comparison between constant-stress and step-stress accelerated life tests under a cost constraint for progressive type I censoring. Sequential Analysis, 40(1), 17-31.
[11] Hakamipour, N. (2020). Design and analysis of step stress accelerated life tests for censored data.
Andishe-ye Amari, 24(2), 55-64. (
Persian)
[12] Hakamipour, N. (2019). Time and cost constrained optimal designs of multiple step stress tests under progressive censoring. International Journal of Quality & Reliability Management, 36(10), 1721-1733.
[13] Hermanns, M., Cramer, E., & Ng, H. K. T. (2020). EM algorithms for ordered and censored system lifetime data under a proportional hazard rate model. Journal of Statistical Computation and Simulation, 90(18), 3301-3337.
[14] Hirano, K. (1986). Rayleigh distribution, Encyclopedia of Statistical Sciences, Vol. 7, 647-649. John Wiley, New York.
[15] Hoffman, D., & Karst, O. J. (1975). The theory of the Rayleigh distribution and some of its applications. Journal of Ship Research, 19(03), 172-191.
[16] Hoshyar, H. (2007). EM Algorithm.
Student Statistical Journal_ NEDA, 5(1), 7-18. (
Persian)
[17] Jiang, P. H., Wang, B. X., & Wu, F. T. (2019). Inference for constant-stress accelerated degradation test based on Gamma process. Applied Mathematical Modelling, 67(2), 123-134.
[18] Kayid, M. (2021). EM Algorithm for Estimating the Parameters of Weibull Competing Risk Model. Applied bionics and biomechanics, 2021.
[19] Lee, H. L., & Cohen, M. A. (1985). A multinomial logit model for the spatial distribution of hospital utilization. Journal of Business & Economic Statistics, 3(2), 159-168.
[20] Lindqvist, B. H. (2006). Competing risks. Encyclopedia of Statistics in Quality and Reliability. New York: Wiley, 10, 9780470061572.
[21] McLachlan, G. J., & Krishnan, T. (2007). The EM algorithm and extensions (Vol. 382). John Wiley & Sons.
[22] Nassar, M., Dey, S., & Nadarajah, S. (2021). Reliability analysis of exponentiated Poissonâexponential constant stress accelerated life test model. Quality and Reliability Engineering International, 37(6), 2853-2874.
[23] Nelson, W. (1990). Accelerated Testing - Statistical Models, Test Plans, and data Analyses. John Wiley and Sons, New York.
[24] Ng, H. K. T., Chan, P. S., & Balakrishnan, N. (2002). Estimation of parameters from progressively censored data using EM algorithm. Computational Statistics & Data Analysis, 39(4), 371-386.
[25] Pan, R., Yang, T., & Seo, K. (2015). Planning constant-stress accelerated life tests for acceleration model selection. IEEE Transactions on Reliability, 64(4), 1356-1366.
[26] Samanta, D., & Kundu, D. (2021). Bayesian inference of a dependent competing risk data. Journal of Statistical Computation and Simulation, 1-18.
[27] Schworer, A. & Hovey, P. “Newton Raphson versus Fisher Scoring Algorithms in Calculating Maximum Likelihood Estimates,” Dayton, 2004.
[28] Wang, L., Tripathi, Y. M., & Lodhi, C. (2020). Inference for Weibull competing risks model with partially observed failure causes under generalized progressive hybrid censoring. Journal of Computational and Applied Mathematics, 368, 112537.
[29] Widyaningsih, P., Saputro, D. R. S., & Putri, A. N. Fisher scoring method for parameter estimation of geographically weighted ordinal logistic regression (GWOLR) model. Journal of Physics: Conference Series, vol. 855, no. 1, p. 012060. IOP Publishing, 2017.
[30] Zhu, X., & Liu, K. (2021). Reliability of one-shot device with generalized gamma lifetime under cyclic accelerated life-test. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 1748006X211058938.
