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Application and Generation of the Univariate Skew Normal Random Variable

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Transactions on Engineering Technologies (WCE 2017)

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Abstract

In this paper, for the generating the Skew normal random variables, we propose a new method based on the combination of minimum and maximum of two independent normal random variables. The estimation of parameters using the maximum likelihood estimation and the methods of moments estimation method. A real data set has been considered to illustrate the practical utility of the paper.

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References

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Correspondence to Philippe Durand .

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Ghorbanzadeh, D., Durand, P., Jaupi, L. (2019). Application and Generation of the Univariate Skew Normal Random Variable. In: Ao, SI., Gelman, L., Kim, H. (eds) Transactions on Engineering Technologies. WCE 2017. Springer, Singapore. https://doi.org/10.1007/978-981-13-0746-1_10

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