Parameter estimation of Pareto distribution: some modified moment estimators
รหัสดีโอไอ
Creator Sajjad Haider Bhatti
Title Parameter estimation of Pareto distribution: some modified moment estimators
Contributor Shahzad Hussain, Tanvir Ahmad, Muhammad Aftab, Muhammad Tahir
Publisher Maejo University
Publication Year 2561
Journal Title Maejo International Journal of Science and Technology
Journal Vol. 12
Journal No. 1
Page no. 11
Keyword bootstrapping, method of moments, mean square error, modified moment estimators, Pareto distribution, total relative deviation
Website title Maejo International Journal of Science and Technology
ISSN 1905-7873
Abstract This article focuses on modified moment estimators for the parameter estimation of Pareto distribution. Four modified moment estimators are proposed and compared with the traditional method of moments estimation. The comparison is carried out through a simulation study using total relative deviation (TRD) and mean square error (MSE) as performance indicators. The simulation study was carried out using R-Language. Modified moment estimators based on mean of first-order statistics and expectation of empirical cumulative distribution function of first-order statistics are demonstrated to perform better than the traditional estimator and other modified moment estimators. The modified moment estimators perform much better when applied on real-life data where bootstrap MSE and TRD are used as performance measures.
MaejoInternational Journal of ScienceandTechnology

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