Perbandingan Metode Momen, Maximum Likelihood dan Bayes dalam Menduga Parameter Distribusi Pareto

Amalia, A. Nurul and Tiro, Muhammad Arif and Aswi, Aswi (2021) Perbandingan Metode Momen, Maximum Likelihood dan Bayes dalam Menduga Parameter Distribusi Pareto. VARIANSI: Journal of Statistics and Its Application on Teaching and Research, 3 (3). pp. 115-125. ISSN 2684-7590 (Online)

	Text (Artikel Jurnal Nasional Terakreditasi) 09_Nurul_Tiro_Aswi_Perbandingan Metode Momen Maximum Likelihood dan Bayes dalam Menduga Parameter Distribusi Pareto.pdf - Published Version Download (632kB)
	Text (Form Penilaian Jurnal Nasional Terakreditasi) 09_Form_Perbandingan Metode Momen Maximum Likelihood dan Bayes dalam Menduga Parameter Distribusi Pareto.pdf - Additional Metadata Download (2MB)

Abstract

This study examines the estimation of Pareto distribution parameters using three different methods, namely the Moment, Maximum Likelihood, and Bayesian methods. The Pareto distribution is a continuous distribution with parameters k > 0 and α > 0. These two parameters are estimated by using three distinct parameter estimation methods. The goodness of fit measure used in choosing the best estimation method is the Mean Square Error (MSE) value. The smallest MSE is the best method. A simulation study is carried out as well as the case study of the data on the number of Gross National Income (GNI) per capita in Southeast Asian countries in 2019. The estimation and simulation results indicate that the best estimation method in estimating the parameters of the Pareto distribution is the Maximum Likelihood in terms of MSE value.

Item Type:	Article
Subjects:	FMIPA > STATISTIKA - (S1) KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	Dr. Aswi Aswi
Date Deposited:	17 Jul 2022 06:12
Last Modified:	17 Jul 2022 06:12
URI:	http://eprints.unm.ac.id/id/eprint/23865

Actions (login required)

View Item