DEVELOPMENT OF A TRANSMUTED LOMAX GAMMA DISTRIBUTION AND APPLICATION
Abstract
New families of continuous probability distributions have been introduced; the so-called Development of Transmuted Lomax Gamma Distribution application and its properties were proposed and studied. Various structural properties, including explicit expressions for the moments, quantile functions, order statistics, survival functions, hazard functions, and estimations of new distributions were derived. The performances of the maximum -likelihood estimates of the parameters of the Transmuted Lomax Gamma family were evaluated through a simulation study. After applying the new distribution to real data, we compared its performance to that of other competing distributions and found that the Transmuted Lomax Gamma distribution performed better when using BIC, AIC, and CAIC. Furthermore, we also concluded that the distribution can be used to model highly skewed data (skewed to the right).
Keywords:
Development of Transmuted Lomax Gamma distribution, hazard function, survival function, moment generating function, quantile function, order statistics, rani and entropy.Downloads
Published
DOI:
https://doi.org/10.5281/zenodo.14229212Issue
Section
How to Cite
License
Copyright (c) 2024 Dr. Abubakar M.A, Dufaylu Umar Musa, Dr. Bilkisu Maijama’a , Dr. N. O. Nweze

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Aghabozorgi, S., and Rezapour, M. (2018). Transmuted Lomax-Gamma Distribution: Theory and Applications. Communications in Statistics-Theory and Methods, 47(2), 445-462.
Alzaatreh, A., Lee, C., & Famoye, F. (2013). A new method for generating families of continuous distributions. Metron, 71(1), 63-79.
Alzaid, A. A., C. Lee, F. Famoye, F., & Lee, M. (2019). Exponential transmuted Weibull–gamma distribution and its properties. Communications in Statistics-Theory and Methods, 48(20), 5075-5095.
Arnold, B. C., Balakrishnan, N., & Nagaraja, H. N. (2008). First Course in Order Statistics. SIAM.
Ahmadi, J., & Doostparast, M. (2020). "The generalized Lomax Distribution: properties, estimation, and applications." Statistics, Optimization, and Information Computing, 8(2), 469-486
Furthermore, Chen, D., Liu, J. (2017). "Bayesian analysis of Transmuted Gamma cure rate model based on progressively type-II censored data." Communications in Statistics-Simulation and Computation, 46(4), 2864-2877.
Abramowitz, M. & Stegun, I.A. (1964). Handbook of Mathematical Functions. New York: Dover Publications and Borwein, J.M. and Borwein, P.B. (1987). Pi and the AGM: Analytic Number Theory and Computational Complexity. New York: Wiley.
A. Ortega, and J.L. Sarabia, “The Transmuted Lomax Distribution.” Statistics, 53(3), 545-556, 2019 and M.M. Mohie El-Din and R. Dey. “Transmuted Lomax Distribution: Properties and Applications.” Journal of Modern Applied Statistical Methods, 17(2), Article 20, 2018.
Bakouch, H. S., & Ozel, G. (2019). Transmuted power Lomax–Weibull distribution: Properties and application. Journal of Statistical Computation and Simulation, 89(14), 2729-2744.
Bain, L. J., & Engelhardt, M. (2013). "Introduction to Probability and Mathematical Statistics." Cengage Learning
Bakouch, H. S., & Ozel, G. (2020). Extended transmuted Lomax–gamma distribution: Properties, applications and regression modeling. Communications in Statistics-Simulation and Computation, 49(7), 1840-1860.
Collett, D. (2003). Modeling Survival Data in Medical Research. CRC Press.
Elbatal, I., et al. (2020). Bayesian Inference for the Transmuted Lomax Distribution Based on Type-II Censored Data. Entropy, 22(5), 545.
Gradshteyn, I.S. and Ryzhik, I.M. (2007). Tables of Integrals, Series, and Products. San Diego, CA:Academic Press and NIST Digital Library of Mathematical Functions: https://dlmf.nist.gov/5. Wikipedia: https://en.wikipedia.org/wiki/Gamma_function
Hamedani, G.G., Kundu, D. (2018). "The transmuted Marshall-Olkin generalized gamma distribution." Heliyon, 4(7), e00695.
Ismail, M. A. Z., Bakouch, H. S., and Gharib, T. F. (2021). Bayesian estimation of the transmuted Lomax-gamma distribution based on progressively hybrid censored data. Communications in Statistics-Theory and Methods, 1-21.
Joanes, D. N., & Gill, C. A. (1998). Comparison of Measures of Sample Skewness and Kurtosis. Journal of the Royal Statistical Society: Series D (The Statistician), 47(1), 183-189.
Kleinbaum, D. G., and M. Klein, (2012). Survival Analysis: A Self-Learning Text. Springer Science & Business Media.
Lawless, J. F. (2011). "Statistical Models and Methods for Lifetime Data." John Wiley & Sons.
Modarres, R. and Ahmadi, J. (2015). "Transmuted Generalized Gamma distribution: A generalization of the Generalized Gamma Distribution." Journal of Statistical Theory and Practice, 9(4), 737-756.
Nadarajah, S., and Bakouch, H. S. (2016). Probability Inequalities for the Transmuted Lomax Distribution. Journal of Inequalities and Applications, 2016(1), 1-15.
Nadarajah, S., & Bakouch, H. S. (2017). Lomax-Gamma distribution: properties and applications. Communications in Statistics-Theory and Methods, 46(13), 6189-6206.
Nadarajah, S., and Bakouch, H. (2017). In a transmuted Lomax distribution. Communications in Statistics-Theory and Methods, 46(1), 55-75.
Ozel, G., Bakouch, H. S., & Soofi, E. S. (2018). The transmuted Lomax-G family of distributions: Properties and applications. Statistical Methodology, 38(3), 443-459.
Ross, S. M. (2014). Furthermore "Introduction to Probability Models." Academic Press. Kotz, S., Balakrishnan, N., & Johnson, N. L. (2000). "Continuous Multivariate Distributions." John Wiley & Sons.
Sankaran, P. G., Kizhakke N. P., & Soares, J. (2016). "Transmuted Generalized Gamma Distribution." Revista Colombiana de Estadística, 39(2), 309-326.
Schley, D., & Stufken, J. (2003). Variable Selection via Nonparametric Prediction of Quantiles. Journal of Statistical Planning and Inference, 108(1-2), 275-299.
Sullivan, L. M. (2011). Essentials of Biostatistics in Public Health. Jones and Bartlett Learning.
Trochim, W. M. (2006). Research Methods: The Concise Knowledge Base. Atomic Dog Publishing.