Comparison of the maximum potential method with other methods for estimating the shape parameter of the general Rayleigh distribution using simulation

Authors

  • Ismail Hadi Chlope
  • Layla Matar Nasser

Keywords:

Maximum possibility method, shape parameter of the general Rayleigh distributio

Abstract

The general Rayleigh distribution with two parameters is one of the important distributions at the level of research studies and has wide applications in the field of reliability and analysis of survival functions. In this research, the shape parameter of the general Rayleigh distribution was estimated through the least squares method with the PCT method. The two researchers proposed two methods: The first is to make a modification to the PCT method and the other is the Bayesian method by adopting a natural conjugate function, which is the exponential distribution, and adopting a quadratic loss function. The sample sizes were chosen (100, 50, 30, 20, 10), as the results showed that at values of 0.3 = small, the The sum of the squares of the error is less than the largest magnitude of the parameter value

References

- A. A. Soliman, “Estimators for the finite mixture of Rayleigh Model Based

on Progressively Censored Data,” Communications in Statistics—Theory and

Methods, Vol. 35, No. 5, 2006, pp. 803-820. doi:10.1080/03610920500501379

- A. F. Attia, “On Estimation for mixtures of 2Rayleigh Distribution with

Censoring,” Microelectronics Reliabil- ity, Vol. 33, No. 6, 1993, pp. 859-867.

doi:10.1016/0026-2714(93)90259-2 .

- Al-Nachawati,H. and Abu-Youssef,S.E.,(2009),"A Bayesian analysis of order

statistics from the Generalized Rayleigh distribution ",Applied Mathematical

sciences,vol.3,no.27,pp 1315-1325.

- Chen, D.G., Lio,Y.L. and Tsai,T.R.,(2011),"Parameter Estimation for

Generalized Rayleigh distribution under progressively type-I interval censored

data', American open journal of statistics pp 46-57.

-D.Kundu,D. and Raqab M., (2005)," Generalized Rayleigh Distribution:

Different Methods of Estimations", Computational Statistics & Data Analysis,

: 18.

-Mahdi1, S. and Cenac M., (2006), "Estimating and Assessing the Parameters

of the Logistic and Rayleigh Distributions from Three Methods of Estimation”,

Journal of Mathematical Computer Science, 13: 25-34

- M. Saleem and M. Aslam, “ Bayesian analysis of the Two Component Mixture

of the Rayleigh Distribution Assuming the Uniform and the Jeffreys Priors,”

Journal of Applied Statistical Science, Vol. 16, No. 4, 2008, pp. 105-113.

-Parvin Fathipour 1, Ali Abolhasani 2 and Hossein Jabbari Khamnei (2013),"

Estimating R = P(Y

Scale Parameters"Applied Mathematical Sciences, Vol. 7, 2013, no. 2, 87 – 92

Estimating R

- Parvin Fathipour , Ali Abolhasani and Hossein Khamnei ,”Estimating R =

P(Y

Parameters”, Applied Mathematical Sciences, Vol. 7, 2013, no. 2, 87 – 92

-Sanku Dey and Tanujit Dey,(2011)," Rayleigh Distribution Revisited via

Extension

Of Jeffrey's prior information and anew loss function ",Statistical Journal

Volume 9, Number 3, November 2011, 213–226.

- Tahani A. Abushal1, Areej M. Al-Zaydi2 ,”Prediction Based on Generalized

Order Statistics from a Mixture of Rayleigh Distributions Using MCMC

Algorithm”, Open Journal of Statistics, 2012, 2, 356-367

doi:10.4236/ojs.2012.23044 Published Online July 2012

(http://www.SciRP.org/journal/ojs

Published

2025-01-14

How to Cite

اسماعيل هادي جلوب, & ليلى مطر ناصر. (2025). Comparison of the maximum potential method with other methods for estimating the shape parameter of the general Rayleigh distribution using simulation. Iraqi Journal for Administrative Sciences, 10(40), 172–179. Retrieved from https://mail.journals.uokerbala.edu.iq/index.php/ijas/article/view/2980