•  
  •  
 

Author Country (or Countries)

Iraq

Abstract

In this work, a new class of asymmetric probability densities, the Epsilon Skew Inverted Gamma (ESIG ) distribution, which was first introduced by Abdulah [2], is applied to analyzing skewed and bimodality data. Basic properties of this distribution, such as the pdf, cdf, and moments are presented. In addition, computational forms of parameters estimation of MLE and MME are used. Finally, we illustrate the theory of ESIG distribution by modeling some real data.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/030101

Share

COinS