Generalized Odd Gompertz-G Family of Distributions: Statistical Properties and Applications
Keywords:
Gompertz distribution, Generalized odd Gompertz-G Family, exponential distribution, moments, Quantile function, maximum likelihoodAbstract
Communication in Physical Sciences, 2023, 10(2):94-106
Authors: Jibril Yahaya Kajuru*, Hussaini Garba Dikko, Aminu Suleiman Mohammed and Aliyu Ibrahim Fulatan
Received: 20 November 2023/Accepted 23 December 2023
In this study, we introduce a novel generator known as the Generalized Odd Gompertz distribution, which includes an extra shape parameter. We examine various mathematical properties of this new generator and explicitly derive its characteristics such as moments, moment-generating function, survival function, hazard function, entropies, quantile function, and the distribution of order statistics. Within this family of distributions, we focus on one member, the Generalized Odd Gompertz-Exponential distribution, defining and analyzing its properties. To assess the flexibility and performance of the model's parameters, we employ Monte Carlo simulations. We further evaluate the versatility of the Generalized Odd Gompertz- Exponential distribution by applying it to real-world datasets and comparing its performance with other existing models. Additionally, we explore the estimation of model parameters using the maximum likelihood method, demonstrating the potential applicability of this distribution family to real-life data analysis.
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Abubakar Sadiq, I., Doguwa, S. I., Yahaya, A., & Garba, J. (2023). New Generalized Odd Frechet-G (NGOF-G) Family of Distribution with Statistical Properties and Applications. UMYU Scientifica, 2, 3, pp. 100-07.
Ahmad, Z., Elgarhy, M., & Hamedani, G. G. (2018). A New Weibull-X Family of Distributions: Properties, Characterizations and Applications. Journal of Statistical Distributions and Applications, 5, 1, pp. 1-8.
Akaike, H. (1974). A new look at the statistical model identification. IEEE transactions on automatic control, 19, 6, pp. 716-723..
Alizadeh, M., Ghosh, I., Yousof, H. M., Rasekhi, M., & Hamedani, G. G. (2017). The Generalized Odd Generalized Exponential Family of Distributions: Properties, Characterizations and Application. Journal of Data Science, 15, 3, pp. 443-465.
Alizadeh, M., Cordeiro, G. M., Pinho, L. G. B., & Ghosh, I. (2017). The Gompertz-G Family of Distributions. Journal of statistical theory and practice, 11, 1, pp. 179-207.
Alzaatreh, A., Lee, C., & Famoye, F. (2013). A new method for generating families of continuous distributions. Metron. 71, 1, pp. 63-79.
Alzaghal, A., Famoye, F. and Lee, C. (2013): Exponentiated T-X Family of Distributions with some Applications. International Journal of Statistics and Probability, 2, 3, pp. 31–49.
Arshad, M. Z., Iqbal, M. Z., & Al Mutairi, A. (2021). A comprehensive review of datasets for statistical research in probability and quality control. Journal of Mathematical Computing Science, 11, 3, pp. 3663-3728.
Bello, O. A., Doguwa, S. I., Yahaya, A., and Jibril, H. M. (2021). A Type I Half Logistic Exponentiated-G Family of Distributions: Properties and Application. Communication in Physical Sciences, 7, 3, pp. 147-163.
Bourguignon, M., Silva, R. B., and Cordeiro, G. M. (2014). The Weibull-G family of probability distributions. Journal of Data Science. 12, pp. 53–68.
Cordeiro, G. M. & de Castro, M. (2011). A new family of generalised distributions. Journal of Statistical computation and Simulation. 81, pp. 883-898.
Cordeiro, G. M., Alizadeh, M., Ozel, G., Hosseini, B., Ortega, E. M. M., & Altun, E. (2017). The Generalized Odd Log-Logistic Family of Distributions: Properties, Regression Models and Applications. Journal of Statistical Computation and Simulation, 87, 5, pp. 908-932.
Cordeiro, G. M., Ortega, E. M., & Nadarajah, S. (2010). The Kumaraswamy Weibull distribution with application to failure data. Journal of the Franklin Institute. 347, 8, pp. 1399-1429.
El Gohary, A., Alshamrani, A., & Al Otaibi, A. N. (2013). The generalized Gompertz distribution. Applied mathematical modelling. 37, pp. 13-24.
Eugene, N., Lee, C. & Famoye, F. (2002). Beta Normal Distribution and its Applications. Communications in Statistics Theory and Methods. 31, 4, pp. 497–512.
Gompertz, B. (1825). On the nature of the function expressive of the law of human mortality and on the new mode of determining the value of life contingencies. Philos. Trans. R. Soc. pp. 513–580.
Gupta, R.C., Gupta, P.L. & Gupta, R.D. (1998). Modeling Failure Time Data by Lehmann Alternatives. Commun. Stat. Theory Methods. 27, pp. 887-904.
Ieren, T. G., Kromtit, F. M., Agbor, B. U., Eraikhuemen, I. B., & Koleoso, P. O. (2019). A Power Gompertz Distribution: Model, Properties and Application to Bladder Cancer Data. Asian Research Journal of Mathematics, 15, 2, pp. 1-14.
Jafari, A., Tahmasebi, S. & Alizadeh, M. (2014). The Beta-Gompertz Distribution, Revista Colombiana de Estadistica. 37, 1, pp. 139-156.
Kajuru, J. Y., Dikko, H. G., Mohammed, A. S., & Fulatan, A. I. (2023). Odd Gompertz-G Family of Distribution, Its Properties and Applications. Fudma Journal of Sciences, 7, 3, pp. 351-358.
Kotz, S., & Dorp, J. R. (2004). Beyond Beta: Other Continuous Families of Distributions with Bounded Support and Applications. Singapore: World Scientific, pp. 289.
Lenart, A. (2012). The moments of the Gompertz distribution and maximum likelihood estimation of its parameters. Scandinavian Actuarial Journal. 3, pp. 255-277.
Oguntunde, P. E., Odetunmibi, O. A., & Adejumo, A. O. (2015). On the exponentiated generalized Weibull distribution: A generalization of the Weibull distribution. Indian Journal of Science and Technology, 8(35), 1-7.
Renyi, A. (1961). On measures of entropy and information. In Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Contributions to the Theory of Statistics, University of California Press, 4, pp. 547-562.
Sanku, D., Fernando, A. M., & Devendra, K. (2018). Statistical Properties and Different Methods of Estimation of Gompertz Distribution with Application, Journal of Statistics and Management Systems, 21, 5, pp. 839-876
Torabi, H. & Montazari, N.H. (2012). The gamma-uniform distribution and its application. Kybernetika 48, pp. 16–30.
Usman, A., Doguwa, S. I. S., Alhaji, B. B., & Imam, A. T. (2020). A New Generalized Weibull Odd Frechet Family of Distributions: Statistical Properties and Applications. Asian Journal of Probability and Statistics, 9, 3, pp. 25-43.
Yousof, H. M., Rasekhi, M., Afify, A. Z., Ghosh, I., Alizadeh, M., & Hamedani, G. G. (2017). The Beta Weibull-G Family of Distributions: Theory, Characterizations and Applications. Pakistan Journal of Statistics, 33, 2.
Zografos, K. & Balakrishnan, N. (2009). On families of beta- and generalized gamma generated distributions and associated inference. Statistical Methodology. 6, pp. 344-362.
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