A Discrete Kumaraswamy Marshall-Olkin Exponential Distribution

Authors

  • Farrukh Jamal Department of Statistics, The Islamia University of Bahawalpur, Punjab 63100, Pakistan.
  • Jiju Gillariose Department of Statistics, CHRIST (Deemed to be University), Hosur Road, Bangalore, Karnataka, 560029, India.
  • Lishamol Tomy Department of Statistics, Deva Matha College, Kuravilangad, Kerala, 686633, India.
Abstract:

Finding new families of distributions has become a popular tool in statistical research. In this article, we introduce a new flexible four-parameter discrete model based on the Marshall-Olkin approach, namely, the discrete Kumaraswamy Marshall-Olkin exponential distribution. The proposed distribution can be viewed as another generalization of the geometric distribution and enfolds some important distributions as special cases. Some properties of the new distribution are derived. The model parameters are estimated by the maximum likelihood method, with validation through a complete simulation study. The usefulness of the new model is illustrated via count-type real data sets.

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Journal title

volume 20  issue 2

pages  129- 152

publication date 2021-12

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