Parameter Estimation for the Exponentiated Weibull Distribution Using SDPWM


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Authors

  • Suzanne A. Allam Department of Mathematics, Institute of Statistical Studies and Research, Cairo University, Egypt
  • Ahmed M. Hashish Department of Mathematics, College of Business and Economics, Qassim University, KSA

Keywords:

Self-Determined probability weighted moments, probability weighted moments, Exponentiated Weibull distribution

Abstract

In this paper, the parameters of the Exponentiated Weibull distribution were estimated by the methods of probability weighted moments (PWM) and self-determined probability weighted moments (SDPWM). In addition, simulation experiments were conducted to compare the performance of the two methods. The simulation results showed that the SDPWM method was better than PWM in almost all the cases. In addition, the two methods provided consistent estimators for the unknown parameters.

 

Author Biographies

Suzanne A. Allam, Department of Mathematics, Institute of Statistical Studies and Research, Cairo University, Egypt

 

 

Ahmed M. Hashish, Department of Mathematics, College of Business and Economics, Qassim University, KSA

 

 

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Published

15-02-2018

How to Cite

Suzanne A. Allam, & Ahmed M. Hashish. (2018). Parameter Estimation for the Exponentiated Weibull Distribution Using SDPWM. International Journal of Mathematics And Its Applications, 6(1 - C), 537–542. Retrieved from http://ijmaa.in/index.php/ijmaa/article/view/1099

Issue

Vol. 6 No. 1 - C (2018)

Section

Research Article

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Copyright (c) 2023 International Journal of Mathematics And its Applications

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