Main Article Content
Abstract
In this article we have proposed a general transmuted family of distributions with emphasis on the cubic transmuted family of distributions. This new class of distributions provide additional exibility in modeling the bi-modal data. The proposed cubic transmuted family of distributions has been linked with the T-X family of distributions proposed by Alzaatreh et al. (2013). Some members of the proposed family of distributions have been discussed. The cubic transmuted exponential distribution has been discussed in detail and various statistical properties of the distribution have been explored. The maximum likelihood estimation for parameters of cubic transmuted exponential distribution has also been discussed alongside Monte Carlo simulation study to assess the performance of the estimation procedure. Finally, the cubic transmuted exponential distribution has been tted to real datasets to investigate it's applicability.
Keywords
Cubic transmuted distribution
Exponential distribution
General transmutation
Maximum likelihood estimation
Reliability analysis
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following License
CC BY: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
How to Cite
Rahman, M. M., Al-Zahrani, B., & Shahbaz, M. Q. (2018). A General Transmuted Family of Distributions. Pakistan Journal of Statistics and Operation Research, 14(2), 451-469. https://doi.org/10.18187/pjsor.v14i2.2334
