Estimation of Extension of Topp-Leone Distribution using Two Different Methods: Maximum Product Spacing and Maximum Likelihood Estimate
DOI:
https://doi.org/10.56919/usci.2432.014Keywords:
Estimation, Topp-Leone, Maximum Likelihood, Maximum Product Spacing, DistributionAbstract
The parameters for Log-Topp-leone (L-T-L) distribution, Topp-leone-exponential (T-L-E) distribution, and Top-plane-Weibull (T-L-W) distribution were estimated via the methods of ML (maximum likelihood) and MPS (maximum product spacing). Simulations were carried out using R-Studio to estimate the parameters and check the efficiency of the estimators. As a consequence, if the sample size (SS) increases, the outcome of the estimations tends to the true PV (parameter values), which proves the consistency and adequacy (C & A) of all the estimators. Similarly, the MSE and biases using the two estimators approach zero, even though some MPS bias values fluctuated. This shows the suitability of each estimator, and MLE is more unbiased and adequate. The estimates using MLE and MPS were efficient. Thus, we recommend that MLE be employed in assessing and computing the parameters of extensions of the Topp-Leone (TL) distribution.
References
Ali Al-Shomrani, Osama Arif, A Shawky, Saman Hanif, Muhammad Qaiser Shahbaz (2016). Topp–Leone Family of Distributions: Some Properties and Application. Pak.j.stat.oper.res. Vol.XII No.3 2016 pp443-451. DOI: https://doi.org/10.18187/pjsor.v12i3.1458
Aryal, G. R., Ortega, E. M., Hamedani, G. G., & Yousof, H. M. (2017). The Topp-Leone generated Weibull distribution: regression model, characterizations and applications. International Journal of Statistics and Probability, 6(1), 126-141. DOI: https://doi.org/10.5539/ijsp.v6n1p126
El-Saeed, A. R., Hassan, A. S., Elharoun, N. M., Al Mutairi, A., Khashab, R. H., & Nassr, S. G. (2023). A class of power inverted Topp-Leone distribution: Properties, different estimation methods & applications. Journal of Radiation Research and Applied Sciences, 16(4), 100643. DOI: https://doi.org/10.1016/j.jrras.2023.100643
Okasha, H. M. (2017). A New Family of Topp and Leone Geometric Distribution with Reliability Applications. Journal of Failure Analysis and Prevention, 17, 477-489. DOI: https://doi.org/10.1007/s11668-017-0263-x
Pourdarvish, A., Mirmostafaee, S. M. T. K., & Naderi, K. (2015). The exponentiated Topp-Leone distribution: Properties and application. Journal of Applied Environmental and Biological Sciences, 5(7), 251-256.
Sadiq, I. A., Doguwa, S. I. S., Yahaya, A., & Garba, J. (2023c). New Generalized Odd Fréchet-Odd Exponential-G Family of Distribution with Statistical Properties and Applications. FUDMA Journal of Sciences, 7(6), 41-51. DOI: https://doi.org/10.33003/fjs-2023-0706-2096
Sadiq, I. A., Doguwa, S. I. S., Yahaya, A., & Usman, A. (2023b). Development of New Generalized Odd Fréchet-Exponentiated-G Family of Distribution. UMYU Scientifica, 2(4), 169-178. DOI: https://doi.org/10.56919/usci.2324.021
Sadiq, I. A., Doguwa, S. I., Yahaya, A., & Garba, J. (2023a). New Generalized Odd Frechet-G (NGOF-G) Family of Distribution with Statistical Properties and Applications. UMYU Scientifica, 2(3), 100-107. DOI: https://doi.org/10.56919/usci.2323.016
Topp, C. W., & Leone, F. C. (1955). A family of J-shaped frequency functions. Journal of the American Statistical Association, 50(269), 209-219. DOI: https://doi.org/10.1080/01621459.1955.10501259
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