Comparison Between the Two Methods of Maximum Likelihood and Partial Estimators of The Topp - Leone Distribution Function and Reliability Using Simulation
DOI:
https://doi.org/10.17977/um067v6i52026p1Keywords:
Parameter Estimation, Topp-Leone Distribution, Properties of The Topp-Leone Distribution, Maximum Likelihood Method, Method of Partial EstimatorsAbstract
The study looked at how to estimate the reliability function for the Topp and Leone distribution with a shape parameter by comparing two methods: the maximum likelihood method and the method of partial estimators. The software function was used to calculate the distribution parameter estimates. An experimental study was also conducted using simulation for comparison purposes and to practically demonstrate the efficiency of these methods. This was done by relying on specific observations for different samples, comparing them based on several metrics represented by the mean squared error. It was found that as the sample size increased, the maximum likelihood estimator became the best.
References
Abbas, S., Taqi, S. A., Mustafa, F., Murtaza, M., & Shahbaz, M. Q. (2017). Topp-Leone inverse Weibull distribution: Theory and application. European Journal of Pure and Applied Mathematics, 10(5), 1005–1022.
Behairy, S., Refaey, R., EL-Helbawy, A., & AL-Dayian, G. (2020). Topp Leone-inverted Kumaraswamy distribution: Properties, estimation and prediction. Journal of Applied Probability and Statistics, 15, 93–118.
Brito, E., Cordeiro, G. M., Yousof, H. M., Alizadeh, M., & Silva, G. O. (n.d.). The Topp–Leone odd log-logistic family of distributions. Journal of Statistical Computation and Simulation. https://doi.org/10.1080/00949655.2017.1335794
Burgazzi, L. (2003). Reliability evaluation of passive systems through functional reliability assessment. Nuclear Technology, 144(2), 145–151. https://doi.org/10.13182/NT03-A3374
Drew, J. H., Glen, A. G., & Leemis, L. M. (2000). Computing the cumulative distribution function of the Kolmogorov–Smirnov statistic. Computational Statistics & Data Analysis, 34(1), 1–15. https://doi.org/10.1016/S0167-9473(99)00069-9
Glas, C. A. (2016). Maximum-likelihood estimation. In W. J. van der Linden (Ed.), Handbook of item response theory (Vol. 2, pp. 197–216). CRC Press.
Hassan, A. S., Elgarhy, M., & Ragab, R. (2020). Statistical properties and estimation of inverted Topp-Leone distribution. Journal of Statistics Applications & Probability, 9(2), 319–331. https://doi.org/10.18576/jsap/090214
Ingalls, R. G. (2011, December). Introduction to simulation. Proceedings of the 2011 Winter Simulation Conference (WSC) (pp. 1374–1388). IEEE. https://doi.org/10.1109/WSC.2011.6147862
Müller, M., & Pfahl, D. (2008). Simulation methods. In F. Shull, J. Singer, & D. I. K. Sjøberg (Eds.), Guide to advanced empirical software engineering (pp. 117–152). Springer. https://doi.org/10.1007/978-1-84800-044-5_4
Okorie, I. E., & Nadarajah, S. (2019). The Topp–Leone Lomax (TLLo) distribution with applications to airborne communication transceiver dataset. Wireless Personal Communications, 109(1), 349–360. https://doi.org/10.1007/s11277-019-06568-8
Sangsanit, Y., & Bodhisuwan, W. (2016). The Topp-Leone generator of distributions: Properties and inferences. Songklanakarin Journal of Science and Technology, 38(5), 537–548.
Xie, M. G., & Singh, K. (2013). Confidence distribution, the frequentist distribution estimator of a parameter: A review. International Statistical Review, 81(1), 3–39. https://doi.org/10.1111/insr.12000
Xun, X., Cao, J., Mallick, B., Maity, A., & Carroll, R. J. (2013). Parameter estimation of partial differential equation models. Journal of the American Statistical Association, 108(503), 1009–1020. https://doi.org/10.1080/01621459.2013.794730
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