On Flexibility of Inverse Lomax-Lindley distribution

Authors

Keywords:

Entropy Inverse, Lomax-Lindley distribution, Inverse Lomax, Rayleigh Monte Carlo, Simulation Inverse, Lomax Inverse, Lomax-G Family

Abstract

J.Y. Falgore*, M. Sirajo, A. A. Umar, M. A. Aliyu

In this work, a new extension of the Inverse Lomax family of distribution called Inverse Lomax Lindley (IL-L) distribution is proposed. Different properties of the new distribution are derived including moments, moment generating function, Renyi entropy, Shanon entropy, and order statistics. The performances of the maximum likelihood estimates of the parameters of the Inverse Lomax-Lindley distribution were evaluated through a simulation study. Application of the IL-L distribution to two real-life data sets has proved its flexibility.

Author Biographies

  • J.Y. Falgore, Ahmadu Bello University, Zaria, Kaduna State, Nigeria

    Department of Statistics

  • M. Sirajo, Ahmadu Bello University, Zaria, Kaduna State, Nigeria

    Department of Statistics

  • A. A. Umar, Ahmadu Bello University, Zaria, Kaduna State, Nigeria

    Department of Statistics

  • M. A. Aliyu, Ahmadu Bello University, Zaria, Kaduna State, Nigeria

    Department of Statistics

Downloads

Published

2021-11-25

Issue

Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4

Section

Articles

How to Cite

On Flexibility of Inverse Lomax-Lindley distribution. (2021). Communication In Physical Sciences, 7(4), 398-410. https://journalcps.com/index.php/volumes/article/view/480

Similar Articles

91-99 of 99

You may also start an advanced similarity search for this article.