@article{Elsherpieny_Hassan_El Haroun_2014, title={Application of Generalized Probability Weighted Moments for Skew Normal Distribution}, volume={2}, url={https://ajouronline.com/index.php/AJAS/article/view/650}, abstractNote={<p>Skewness is often present in a wide range of applied problems. One possible approach to model this skewness is based on the class of skew normal distributions. This article focuses on estimating the unknown parameters of skew normal distribution. Generalized probability weighted moments, probability weighted moments and fractional moments estimating methods are investigated in skew normal distribution. Comparison between estimators is made through Monte Carlo simulation via their mean square errors. Comparison study revealed that the fractional moment estimators are better than generalized probability weighted moment and probability weighted moment estimators</p> <p> </p><p> </p>}, number={1}, journal={Asian Journal of Applied Sciences}, author={Elsherpieny, E. A. and Hassan, Amal S. and El Haroun, Neema M.}, year={2014}, month={Feb.} }