The Truncated Lomax-exponential distribution and its fitting to financial data

Document Type : Research Paper

Author

Department of statistics, Faculty of science, Payame Noor University, Bushehr, Iran

Abstract

Nowadays, analyzing the losses data of the insurance and asset portfolios has special importance in risk analysis and economic problems. Therefore, having suitable distributions that are able to fit such data, is important. In this paper, a new distribution with decreasing failure rate function is introduced. Then, some important and applicable statistical indices in insurance and economics like the moments and moment generating function, value at risk, tail value at risk, tail variance, and Shannon and R'enyi entropies are obtained. One of the advantages of this distribution is that it has fewer parameters compared to other distributions that have been introduced so far. Finally, this distribution is utilized as a proper distribution to fit on a real data set.

Keywords


[1] M. V. Aarset, How to identify a bathtub hazard rate, IEEE Transactions on Reliability vol. 36, no. 1 (1987) 106{108.
[2] A. A. H. Ahmadini, A. Hassan, M. Elgarhy, M. Elsehetry, S. S. Alshqaq and S. G. Nassr, Inference of truncated Lomax inverse Lomax distribution with applications, INTELLI-GENT A UTOMATION AND SOFT COMPUTING vol. 29, no. 1 (2021) 199{212.
[3] W. Barreto-Souza and A. B. Simas, The exp-G family of probability distributions, Brazilian Journal of Probability and Statistics vol. 27, no.1 (2013) 84{109.
[4] H. D. Brunk, R. E. Barlow, D. J. Bartholomew and J. M. Bremner, Statistical Inference under Order Restrictions, John Wiley & Sons, New York, 1972.
[5] G. L. Ghai and J. Mi, Mean residual life and its association with failure rate, IEEE Transactions on Reliability vol. 48, no. 3 (1999) 262{266.
[6] N. H. Golzar, M. Ganji and H. Beverani, The Lomax-Exponential distribution, some properties and applications, Journal of Statistical Research of Iran vol. 13, no. 2 (2016) 131{153.
[7] N. A. Hussain, S. I. S. Doguwa and A. Yahaya, The Weibull-Power Lomax distribution: properties and application, Communication in Physical Sciences vol. 6, no. 2 (2020) 869{881.
[8] A. Hassan, M. Sabry, and A. Elsehetry, A new probability distribution family arising from truncated power Lomax distribution with application to Weibull model, Pakistan Journal of Statistics and Operation Research vol. 16, no. 4 (2020) 661{674.
[9] M. Ijaz and S. M. Asim, Lomax exponential distribution with an application to real-life data, PloS one vol. 14, no. 12 (2019) e0225827.
[10] H. Li and W. Tian, Slashed Lomax distribution and regression model, Symmetry vol. 12, no. 11 (2020) 1877.
[11] A. Mahdavi, and G. Oliveira Silva, A Method to Expand Family of Continuous Distributions based on Truncated Distributions, Journal of Statistical Research of Iran vol. 13, no. 2 (2017) 231-247.
[12] R. S. Meshkat, H. Torabi and G. G. Hamedani, A Generalized Gamma-Weibull Distribution: Model, Properties and Applications, Pakistan Journal of Statistics and Operation Research (2016) 201-212.
[13] E. H. A. Rady, W. A. Hassanein and T. A. Elhaddad, The power Lomax distribution with an application to bladder cancer data, SpringerPlus vol. 5, no. 1 (2016) 1-22.
[14] A. Renyi, On measures of entropy and information, Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Contributions to the Theory of Statistics, The Regents of the University of California (1961).
[15] C. E. Shannon, Prediction and entropy of printed English, Bell Labs Technical Journal vol. 30, no. 1 (1951) 50-64.