British Journal of Mathematics & Computer Science, ISSN: 2231-0851,Vol.: 4, Issue.: 14 (16-31 July)

Original-research-article

Estimation of Pareto Parameters Using a Fuzzy Least-Squares Method and Other Known Techniques with a Comparison

 

Hegazy M. Zaher¹, Ahmed A. El-Sheik¹ and Noura A. T. Abu El-Magd^2*

¹Institute of Statistical Studies and Research, Cairo University, Egypt.
²Faculty of Business and Economics, Misr University for Science and Technology, Egypt.

Article Information

Editor(s):

(1) H. M. Srivastava, Department of Mathematics and Statistics, University of Victoria, Canada.

Reviewers:

(1) Salahaddin Abdul Qader Ahmed, University of Sulaimani, Iraq.

(2) Anonymous.

(3) Anonymous.

Complete Peer review History:http://www.sciencedomain.org/review-history/4743

The purpose of this paper is to obtain the fuzzy least-squares estimator for the two-parameter Pareto distribution and to compare the fuzzy estimator with different types of estimators. The trimmed linear moments (TL-moments), linear moments (L-moments) and linear quantile moments (LQ-moments) formulas will be obtained for the two-parameter Pareto distribution and the TL-moments estimator, L-moments estimator and LQ-moments estimator will be derived for the Pareto distribution. Numerical comparisons between the proposed method and the existing methods are implemented. According to these comparisons, it is suggested that the proposed fuzzy least-squares estimator is preferable all times.

Keywords :

Pareto distribution, fuzzy least-squares, TL-moments, L-moments, LQ-moments, maximum likelihood, simulations.

Full Article - PDF    Page 2067-2088

DOI : 10.9734/BJMCS/2014/10890

Review History    Comments