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The Kumaraswamy Weibull Geometric Distribution with Applications
Author(s):
1. Mahdi Rasekhi: Department of Statistics, Malayer University, Malayer, Iran
2. Morad Alizadeh: Department of Statistics,Persian Gulf University, Bushehr, Iran
3. G.G. Hamedani: Department of Mathematics, Statistics and Computer Science Marquette University, Milwaukee, USA
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.
Page(s): 347-366
DOI: DOI not available
Published: Journal: Pakistan Journal of Statistics and Operation Research, Volume: 14, Issue: 2, Year: 2018
Keywords:
Weibull Characterizations
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