Author(s):
1. Md. Mahabubur Rahman:
Department of Statistics King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Department of Statistics Islamic University, Kushtia, Bangladesh
2. Bander Al-Zahrani:
Department of Statistics King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
3. Muhammad Qaiser Shahbaz:
Department of Statistics King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
Abstract:
In this article we have proposed a general transmuted family of distributions with emphasis on the cubic transmuted (CT ) 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.
Page(s):
451-469
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 14, Issue: 2, Year: 2018
Keywords:
Maximum Likelihood Estimation
,
Exponential distribution
,
Reliability Analysis
,
Cubic transmuted distribution
,
General transmutation
References:
References are not available for this document.
Citations
Citations are not available for this document.