Bivariate Normal-Power Series Class of Distributions: Model, Properties and Applications

Authors

  • Eisa Mahmoudi Faculty member of Statistics
  • Hamed Mahmoodian Department of Statistics, Yazd University, Yazd, Iran
  • Ashkan Khalifeh Ph. D. Student in Department of Statistics, Yazd University, Yazd, Iran

DOI:

https://doi.org/10.1285/i20705948v11n2p546

Keywords:

normal distribution, power series distributions, EM algorithm, Copula

Abstract

Recently Mahmoudi and Mahmoodian (2017a) introduced a new class of distributions which obtain by compounding normal and power series distributions. This class of distributions are very flexible and can be used quite effectively to analysis skewd data. In this paper we proposed a new bivariate class of distributions with the normal-power series distributions marginals.

Author Biographies

Eisa Mahmoudi, Faculty member of Statistics

Faculty of Mathematics, Department of Statistics, Yazd University, Yazd, Iran

Hamed Mahmoodian, Department of Statistics, Yazd University, Yazd, Iran

Ashkan Khalifeh, Ph. D. Student in Department of Statistics, Yazd University, Yazd, Iran

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Published

14-10-2018

Issue

Vol. 11 No. 2 (2018): Electronic Journal of Applied Statistical Analysis

Section

Original Paper

License

Authors who publish with EJASA agree to the  Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License.