International Journal of Nonlinear Analysis and Applications

Comparison of the percentile estimation method and mixture (maximum likelihood and least square) method for estimating parameters of Johnson bounded distribution

Document Type : Research Paper

Authors

College of Management and Economics, University of Basrah, Iraq

Abstract

The Johnson Bonded Distribution (JSBD) is one of the distributions belonging to the Johnson Distribution family (JD) This family is considered one of the flexible distributions that enable it to represent the random behaviour of many phenomena. The method of percentile estimation and the Mixture method  (Maximum Likelihood & Least Square) were used to find estimates of the distribution parameters. The simulation results showed the advantage of the  Mixture method at large sample sizes, the accuracy of the two methods is close at average sample sizes.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 1
March 2022
Pages 2655-2663
  • Receive Date: 09 September 2021
  • Revise Date: 26 October 2021
  • Accept Date: 09 December 2021