Estimating the reliability function of Kumaraswamy distribution data
/ توزيع Kw
طريقة (ML)
طريقة Bayes))
متوسط مربعات الخطأ MSE)) .
Estimating the reliability function of Kumaraswamy distribution data
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.
