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.

Highlights

  • Dagum distribution is widely used for modeling a wide range of data in several fields

  • Alwan et al tried more than fifty distributions to model the reliability of the electrical distribution system and the Dagum distribution was considered as the best choice [10]

  • The study will focus on the application of the cubic transmuted Dagum distribution to model the survival function of a distribution and the hazard function

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Summary

Introduction

Dagum distribution is widely used for modeling a wide range of data in several fields. It is very worthwhile for analyzing income distribution, actuarial, metrological data and preferable for survival analysis [6, 1]. Bordley studied the United States family income data by probability distributions along with the Dagum distribution [8]. In a study [9] revealed after the study of 23 countries’ income data, the Dagum distribution is the best among the two and three parameter distributions. Alwan et al tried more than fifty distributions to model the reliability of the electrical distribution system and the Dagum distribution was considered as the best choice [10]. In this study, is a proposal for a the cubic transmuted Dagum distribution to model survival data to take care of the flexibility of the data and complexity (multimodal) in survival data

Importance of the Study
Aim and Objectives of the Study
Scope and Limitation
Cubic Transmuted Dagum Distribution
Some Properties of the Proposed Cubic Transmuted Dagum Distribution
Quantile Function
Hazard Function
Application
Conclusion
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