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Generating the Skew Normal Random Variable

Lecture notes in engineering and computer science, 2017, Vol.2229/2230, p.113

ISSN: 2078-0958 ;EISSN: 2078-0966

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  • Title:
    Generating the Skew Normal Random Variable
  • Author: Ghorbanzadeh, Dariush ; Durand, Philippe ; Jaupi, Luan
  • Subjects: Economic models ; Estimating techniques ; Independent variables ; Maximum likelihood estimation ; Parameter estimation ; Random variables
  • Is Part Of: Lecture notes in engineering and computer science, 2017, Vol.2229/2230, p.113
  • Description: 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.
  • Publisher: Hong Kong: International Association of Engineers
  • Language: English
  • Identifier: ISSN: 2078-0958
    EISSN: 2078-0966
  • Source: ROAD: Directory of Open Access Scholarly Resources
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