Document Type
Article
Language
eng
Publication Date
2018
Publisher
University of the Punjab
Source Publication
Pakistan Journal of Statistics and Operational Research
Source ISSN
1816-2711
Abstract
In this work, we study the kumaraswamy weibull geometric (Kw-WG) distribution which includes as special cases, several models such as the kumaraswamy weibull distribution, kumaraswamy exponential distribution, weibull geometric distribution, exponential geometric distribution, to name a few. This distribution was monotone and non-monotone hazard rate functions, which are useful in lifetime data analysis and reliability. We derive some basic properties of the Kw-WG distribution including non-central rth-moments, skewness, kurtosis, generating functions, mean deviations, mean residual life, entropy, order statistics and certain characterizations of our distribution. The method of maximum likelihood is used for estimating the model parameters and a simulation study to investigate the behavior of this estimation is presented. Finally, an application of the new distribution and its comparison with recent flexible generalization of weibull distribution is illustrated via two real data sets.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Rasekhi, Mahdi; Alizadeh, Morad; and Hamedani, Gholamhossein G., "The Kumaraswamy Weibull Geometric Distribution with Applications" (2018). Mathematical and Statistical Science Faculty Research and Publications. 11.
https://epublications.marquette.edu/math_fac/11
Comments
Published version. Pakistan Journal of Statistics and Operational Research, Vol. 14, No. 2 (2018): 347-366. DOI. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Used with permission.