| Peer-Reviewed

Cubic Transmuted Dagum Distribution: Properties and Applications

Received: 26 November 2020    Accepted: 10 December 2020    Published: 30 April 2021
Views:       Downloads:
Abstract

In this article, a generalization of the new cubic transmuted Dagum (CTD) distribution is derived and have developed a cubic transmuted family of distribution. The proposed distribution includes a special cases of the new Transmuted Dagum distribution (TDD). The objectives are to model a new distribution called cubic transmuted Dagum distribution to take care of the flexibility and multimodal (complex) effect which the transmuted form of the distribution cannot handle. The work comprises of the probability density function of cubic transmuted Dagum distribution and its Cumulative distribution function and attempt was made to compare the new distribution with the transmuted form of the distribution. Various structural properties of the new distribution, including the moments, characteristic function, quantile, moment generating function, mean, variance, reliability analysis, order statistics are derived. The maximum likelihood estimation method has been proposed for the estimation of the parameters of the Cubic transmuted Dagum distribution. The usefulness of the derived model is illustrated using two data sets to compare the performance of the new distribution with the transmuted form of the distribution and also with the parent (Dagum) distribution, and it is proved that CTD distribution is a better distribution than the transmuted Dagum distribution and the Dagum distributions based on some goodness of fit measures. Therefore, we conclude that the new model fits real life data better than the transmuted form and the base distribution. Also cubic transmuted Dagum distribution attracts more applications in several areas such as engineering, survival data, economics and others.

Published in Mathematics Letters (Volume 7, Issue 1)
DOI 10.11648/j.ml.20210701.12
Page(s) 7-18
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Transmuted Distribution, Dagum Distribution, Reliability Function, Moment Generating Function, Maximum Likelihood Estimation

References
[1] Dagum, C. (1983). Income distribution models. In: S. Kotz, N. L. Johnson, and C. Read (eds.): Encyclopedia of Statistical Sciences, Vol. 4. New York: John Wiley, pp. 27-34.
[2] Dagum, C. (1980). The generation and distribution of income, the Lorenz curve and the Gini ratio. In Silva, A. O, Cecilia, L. M & Cordeiro, G. M (2017). The extended Dagum Distribution: Properties and Application. Journal of Data Science, 13, 53-73.
[3] Dagum, C. (1977). A new model of personal income distribution: Specification and estimation. Economie Appliquée, 30, 413-437. In Silva, A. O, Cecilia, L. M & Cordeiro, G. M (2017). The Extended Dagum Distribution: Properties and Application. Journal of Data Science, 13 53-73.
[4] Elbatal I and Aryal G (2015). Transmuted Dagum distribution with Applications. Chilean journal of Statistics 6 (2), 31-45.
[5] Granzotto, D. C. T., Louzada, F., and Balakrishnan, N. (2017). Cubic rank transmuted distributions: inferential issues and applications. Journal of Statistical Computation and Simulation, 87: 2760–2778, doi. 10.1080/00949655.2017.1344239.
[6] Shahzad M. N and Asghar Z (2016). Transmuted Dagum Distribution: A more flexible and broad Shaped hazard function model. Hacettepe Journal of Mathematics and Statistics. Vol 45 (1), 227-244.
[7] Fattorini, L. Lemmi, A. (1979) Proposta di un modello alternativo per lanalisi della distribuzione personale del reddito, Atti Giornate di Lavoro AIRO 28 (1), 89-117.
[8] Bordley, R. F., McDonald, J. B. and Mantrala, A. (1996) Something new, something old: Paramet- ric models for the size distribution of income, Journal of Income Distribution 6 (1), 91-103.
[9] Bandourian, R., McDonald, J. B. and Turley, R. S. (2003) A Comparison of Parametric Models of Income Distribution across Countries and Over Time, Estadistica 55, 135-152.
[10] Alwan, F. M., Baharum, A. and Hassan, G. S (2013). Reliability Measurement for Mixed Model Failures of 33/11 Kilovolt Electric Power Distribution Stations, PloS one 8 (8), 1-8.
[11] Bird, J (2005) basic Engineering mathematics, 4th ed. Elsevier Publihing: India Pg 108.
[12] Hyndman. R. J. and Fan, Y (1996). Sample quantiles in statistical packages. The American Statistician 50 (4), 361-365.
[13] Kalaa M. I and Adamu D (2013). Solving Quintin equation by Radicals. International journal of Research and Advancement in physical science. 3 (3): 75-77.
[14] Proschan, F. (1963). Theoretical Explanation of Observed Decreasing Failure Rate. Technometrics, 5, 375C383. https://doi.org/10.1080/00401706.1963.10490105.
[15] Owoloko, A & Oguntunde, P & Adejumo, A O. (2015). Performance rating of the transmuted exponential distribution: an analytical approach. SpringerPlus. 4. 10.1186/s40064-015-1590-6.
[16] Rahman, M. M., Al-Zahrani, B., Shahbaz, S. H., and Shahbaz, M. Q. (2019b). Cubic Transmuted Uniform Distribution: An Alternative to Beta and Kumaraswamy Distributions. European Journal of Pure and Applied Mathematics, 12: 1106–1121.
Cite This Article
  • APA Style

    Adana’a Felix Chama. (2021). Cubic Transmuted Dagum Distribution: Properties and Applications. Mathematics Letters, 7(1), 7-18. https://doi.org/10.11648/j.ml.20210701.12

    Copy | Download

    ACS Style

    Adana’a Felix Chama. Cubic Transmuted Dagum Distribution: Properties and Applications. Math. Lett. 2021, 7(1), 7-18. doi: 10.11648/j.ml.20210701.12

    Copy | Download

    AMA Style

    Adana’a Felix Chama. Cubic Transmuted Dagum Distribution: Properties and Applications. Math Lett. 2021;7(1):7-18. doi: 10.11648/j.ml.20210701.12

    Copy | Download

  • @article{10.11648/j.ml.20210701.12,
      author = {Adana’a Felix Chama},
      title = {Cubic Transmuted Dagum Distribution: Properties and Applications},
      journal = {Mathematics Letters},
      volume = {7},
      number = {1},
      pages = {7-18},
      doi = {10.11648/j.ml.20210701.12},
      url = {https://doi.org/10.11648/j.ml.20210701.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ml.20210701.12},
      abstract = {In this article, a generalization of the new cubic transmuted Dagum (CTD) distribution is derived and have developed a cubic transmuted family of distribution. The proposed distribution includes a special cases of the new Transmuted Dagum distribution (TDD). The objectives are to model a new distribution called cubic transmuted Dagum distribution to take care of the flexibility and multimodal (complex) effect which the transmuted form of the distribution cannot handle. The work comprises of the probability density function of cubic transmuted Dagum distribution   and its Cumulative distribution function and attempt was made to compare the new distribution with the transmuted form of the distribution. Various structural properties of the new distribution, including the moments, characteristic function, quantile, moment generating function, mean, variance, reliability analysis, order statistics are derived. The maximum likelihood estimation method has been proposed for the estimation of the parameters of the Cubic transmuted Dagum distribution. The usefulness of the derived model is illustrated using two data sets to compare the performance of the new distribution with the transmuted form of the distribution and also with the parent (Dagum) distribution, and it is proved that CTD distribution is a better distribution than the transmuted Dagum distribution and the Dagum distributions based on some goodness of fit measures. Therefore, we conclude that the new model fits real life data better than the transmuted form and the base distribution. Also cubic transmuted Dagum distribution attracts more applications in several areas such as engineering, survival data, economics and others.},
     year = {2021}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Cubic Transmuted Dagum Distribution: Properties and Applications
    AU  - Adana’a Felix Chama
    Y1  - 2021/04/30
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ml.20210701.12
    DO  - 10.11648/j.ml.20210701.12
    T2  - Mathematics Letters
    JF  - Mathematics Letters
    JO  - Mathematics Letters
    SP  - 7
    EP  - 18
    PB  - Science Publishing Group
    SN  - 2575-5056
    UR  - https://doi.org/10.11648/j.ml.20210701.12
    AB  - In this article, a generalization of the new cubic transmuted Dagum (CTD) distribution is derived and have developed a cubic transmuted family of distribution. The proposed distribution includes a special cases of the new Transmuted Dagum distribution (TDD). The objectives are to model a new distribution called cubic transmuted Dagum distribution to take care of the flexibility and multimodal (complex) effect which the transmuted form of the distribution cannot handle. The work comprises of the probability density function of cubic transmuted Dagum distribution   and its Cumulative distribution function and attempt was made to compare the new distribution with the transmuted form of the distribution. Various structural properties of the new distribution, including the moments, characteristic function, quantile, moment generating function, mean, variance, reliability analysis, order statistics are derived. The maximum likelihood estimation method has been proposed for the estimation of the parameters of the Cubic transmuted Dagum distribution. The usefulness of the derived model is illustrated using two data sets to compare the performance of the new distribution with the transmuted form of the distribution and also with the parent (Dagum) distribution, and it is proved that CTD distribution is a better distribution than the transmuted Dagum distribution and the Dagum distributions based on some goodness of fit measures. Therefore, we conclude that the new model fits real life data better than the transmuted form and the base distribution. Also cubic transmuted Dagum distribution attracts more applications in several areas such as engineering, survival data, economics and others.
    VL  - 7
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Mathematical Sciences, Taraba State University, Jalingo, Nigeria

  • Sections