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. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Transmuted Distribution, Dagum Distribution, Reliability Function, Moment Generating Function, Maximum Likelihood Estimation
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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
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
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
@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} }
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 -