Skew Normal Distribution
Maximum Likelihood Method
Genetic Algorithm
Iteratively Reweighting Algorithm.
التوزيع الطبيعي الملتوي
طريقة الامكان الاعظم
الخوارزمية الجينية
خوارزمية اعادة الوزن التكرارية .
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Excessive skewness which occurs sometimes in the data is represented as an obstacle against normal distribution. So, recent studies have witnessed activity in studying the skew-normal distribution (SND) that matches the skewness data which is regarded as a special case of the normal distribution with additional skewness parameter (α), which gives more flexibility to the normal distribution. When estimating the parameters of (SND), we face the problem of the non-linear equation and by using the method of Maximum Likelihood estimation (ML) their solutions will be inaccurate and unreliable. To solve this problem, two methods can be used that are: the genetic algorithm (GA) and the iterative reweighting algorithm (IR) based on the M
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