@article { author = {Ahmad, Zubair and Elgarhy, M. and Abbas, Nasir}, title = {A new extended alpha power transformed family of distributions: properties and applications}, journal = {Journal of Statistical Modelling: Theory and Applications}, volume = {1}, number = {1}, pages = {13-27}, year = {2020}, publisher = {Yazd University}, issn = {2676-7392}, eissn = {2716-9790}, doi = {10.22034/jsmta.2020.1706}, abstract = {In this paper, a new method has been proposed to introduce an extra parameter to a family of lifetime distributions for more flexibility. A special sub-case has been considered in details namely; two parameters Weibull distribution. Various mathematical properties of the proposed distribution, including explicit expressions for the moments, quantile, moment generating function, residual life, mean residual life and order statistics are derived. The maximum likelihood estimators of unknown parameters cannot be obtained in explicit forms, and they have to be obtained by solving non-linear equations only. A simulation study is conducted to evaluate the performances of these estimators. For the illustrative purposes, two data sets havebeen analyzed to show how the proposed model work in practice.}, keywords = {Alpha power transformation,Family of distributions,Maximum likelihood estimation,Moments,Order statistic,Residual life function,Weibull distribution}, url = {https://jsm.yazd.ac.ir/article_1706.html}, eprint = {https://jsm.yazd.ac.ir/article_1706_29be316a5dd550e89d97d1245e6c32da.pdf} }