Discrete Weibull geometric distribution and its properties
K Jayakumar, MG Babu - Communications in Statistics-Theory and …, 2018 - Taylor & Francis
Communications in Statistics-Theory and Methods, 2018•Taylor & Francis
In this article, the discrete analog of Weibull geometric distribution is introduced. Discrete
Weibull, discrete Rayleigh, and geometric distributions are submodels of this distribution.
Some basic distributional properties, hazard function, random number generation, moments,
and order statistics of this new discrete distribution are studied. Estimation of the parameters
are done using maximum likelihood method. The applications of the distribution is
established using two datasets.
Weibull, discrete Rayleigh, and geometric distributions are submodels of this distribution.
Some basic distributional properties, hazard function, random number generation, moments,
and order statistics of this new discrete distribution are studied. Estimation of the parameters
are done using maximum likelihood method. The applications of the distribution is
established using two datasets.
Abstract
In this article, the discrete analog of Weibull geometric distribution is introduced. Discrete Weibull, discrete Rayleigh, and geometric distributions are submodels of this distribution. Some basic distributional properties, hazard function, random number generation, moments, and order statistics of this new discrete distribution are studied. Estimation of the parameters are done using maximum likelihood method. The applications of the distribution is established using two datasets.
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