In this work, a new class of asymmetric probability densities, the Epsilon Skew Inverted Gamma (ESIG ) distribution, which was first introduced by Abdulah , 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.
Digital Object Identifier (DOI)
K. Abdulah, Ebtisam and Elsalloukh, Hassan
"Bimodal Class based on the Inverted Symmetrized Gamma Distribution with Applications,"
Journal of Statistics Applications & Probability: Vol. 3
, Article 1.
Available at: https://dc.naturalspublishing.com/jsap/vol3/iss1/1