Main Article Content

Abstract

We introduce a five-parameter continuous model, called the beta exponentiated Lomax distribution, to extend the two-parameter Lomax distribution. Some structural properties of this new distribution such as moments, incomplete moments, mean residual life , mean waiting time and Rényi entropy are obtained. The method of maximum likelihood is proposed for estimating the model parameters. We obtain the observed information matrix. Three real data sets illustrate the importance and flexibility of the proposed model.

Keywords

Beta distribution Lomax distributions Maximum likelihood estimation.

Article Details

Author Biography

Mead M. E., Department of Statistics and Insurance, Faculty of Commerce, Zagazig University, Egypt

Professor

Department of Statistics and Insurance, Faculty of Commerce,
Zagazig University, Egypt

How to Cite
M. E., M. (2016). On Five-Parameter Lomax Distribution:Properties and Applications. Pakistan Journal of Statistics and Operation Research, 12(1), 185-199. https://doi.org/10.18187/pjsor.v11i4.1163