%0 Journal Article %1 afify2014transmuted %A Afify, Ahmed Z. %A Nofal, Zohdy M. %A Butt, Nadeem Shafique %D 2014 %J Pakistan Journal of Statistics and Operation Research %K Complementary entropy,Transmutation estimation,Moment function,Order function,R{\'{e}}nyi generating geometric,Maximum likelihood statistics,Reliability weibull %N 4 %P 435--454 %R 10.1080/00949655.2012.744406 %T Transmuted complementary weibull geometric distribution %U http://www.pjsor.com/index.php/pjsor/article/view/836 %V 10 %X This paper provides a new generalization of the complementary Weibull geometric distribution that introduced by Tojeiro et al. (2014), using the quadratic rank transmutation map studied by Shaw and Buckley (2007). The new distribution is referred to as transmuted complementary Weibull geometric distribution (TCWGD). The TCWG distribution includes as special cases 11 sub models such as the complementary Weibull geometric distribution (CWGD), complementary exponential geometric distribution (CEGD), Weibull distribution (WD), exponential distribution (ED) and three new submodels. Various structural properties of the new distribution including moments, quantiles, moment generating function and Rényi entropy of the subject distribution are derived. We proposed the method of maximum likelihood for estimating the model parameters and obtain the observed information matrix. A real data set are used to compare the flexibility of the transmuted version versus the complementary Weibull geometric distribution.

@article{afify2014transmuted, abstract = {This paper provides a new generalization of the complementary Weibull geometric distribution that introduced by Tojeiro et al. (2014), using the quadratic rank transmutation map studied by Shaw and Buckley (2007). The new distribution is referred to as transmuted complementary Weibull geometric distribution (TCWGD). The TCWG distribution includes as special cases 11 sub models such as the complementary Weibull geometric distribution (CWGD), complementary exponential geometric distribution (CEGD), Weibull distribution (WD), exponential distribution (ED) and three new submodels. Various structural properties of the new distribution including moments, quantiles, moment generating function and R{\'{e}}nyi entropy of the subject distribution are derived. We proposed the method of maximum likelihood for estimating the model parameters and obtain the observed information matrix. A real data set are used to compare the flexibility of the transmuted version versus the complementary Weibull geometric distribution.}, added-at = {2017-11-05T18:54:27.000+0100}, author = {Afify, Ahmed Z. and Nofal, Zohdy M. and Butt, Nadeem Shafique}, biburl = {https://www.bibsonomy.org/bibtex/29cc8f3cf02a0abb972787ee052a76a32/nadeemshafique}, doi = {10.1080/00949655.2012.744406}, file = {:C$\backslash$:/Users/owner/Documents/Downloads/Documents/Papers Last 5 Years/836-3260-1-PB.pdf:pdf}, interhash = {7a64a221b789892c5f605060fe214a53}, intrahash = {9cc8f3cf02a0abb972787ee052a76a32}, issn = {22205810}, journal = {Pakistan Journal of Statistics and Operation Research}, keywords = {Complementary entropy,Transmutation estimation,Moment function,Order function,R{\'{e}}nyi generating geometric,Maximum likelihood statistics,Reliability weibull}, month = dec, number = 4, pages = {435--454}, timestamp = {2017-11-05T18:55:24.000+0100}, title = {{Transmuted complementary weibull geometric distribution}}, url = {http://www.pjsor.com/index.php/pjsor/article/view/836}, volume = 10, year = 2014 }