Bimodal Class based on the Inverted Symmetrized Gamma Distribution with Applications

Authors

Ebtisam K. Abdulah, Department of Applied Science, University of Arkansas at Little Rock, Arkansas 72204, USA\\ University of Baghdad, Baghdad, IraqFollow
Hassan Elsalloukh

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

Recommended Citation

K. Abdulah, Ebtisam and Elsalloukh, Hassan (2014) "Bimodal Class based on the Inverted Symmetrized Gamma Distribution with Applications," Journal of Statistics Applications & Probability: Vol. 3: Iss. 1, Article 1.
DOI: http://dx.doi.org/10.18576/jsap/030101
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol3/iss1/1