A study at the College of Management and Economics at the University of Karbala discussed the transformation of circular random variables based on cardiac-warppeel exponential distributions with a practical application.
The study aimed to build a new probability distribution using the inverse transformation rule (transformation IDF) that would be more flexible and flexible in representing the real data of the study than the original distribution.
The study concluded that the maximum likelihood method (MLE) is the best method for estimating the parameters of the circular spider distribution, and the best simulated model is the third model based on the values of the criterion (Mse).
The letter recommended the use of new types of composite distributions because of their flexibility and high efficiency in accurately representing this data.
