Estimating the Reliability Function of Kumaraswamy Distribution Data

Authors

• Qutaiba N. Nayef Al-Qazaz, Department of Statistics, College of Administration & Economics, University of Baghdad, Republic of Iraq
• Ruqaya Raad Hussein, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq

Abstract

The aim of this study is to estimate the parameters and reliability function for kumaraswamy distribution of this two positive parameter (a,b > 0), which is a continuous probability that has many characterstics with the beta distribution with extra advantages. The shape of the function for this distribution and the most important characterstics are explained and estimated the two parameter (a,b) and the reliability function for this distribution by using the maximum likelihood method (MLE) and Bayes methods. simulation experiments are conducts to explain the behaviour of the estimation methods for different sizes depending on the mean squared error criterion the results show that the Bayes is better than the ML.

DOI

10.33095/jeas.v25i115.1776

Subject Area

Statistical

First Page

432

Last Page

451

Recommended Citation

Al-Qazaz, Q. N., & Hussein, R. R. (2019). Estimating the Reliability Function of Kumaraswamy Distribution Data. Journal of Economics and Administrative Sciences, 25(115), 432-451. https://doi.org/10.33095/jeas.v25i115.1776