A note on generalising random self-decomposability

A note on generalising random self-decomposability

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  • S Satheesh Department of Applied Sciences, Vidya Academy of Science and Technology, Thalakkottukara, Trichur-680 501, India.
  • Sandhya E Department of Statistics, Prajyoti Niketan College, Pudukkad, Thrissur - 680 301, India.

In this paper, we introduce a new generalization of univariate and bivariate modified discrete Weibull distribution. Various properties of the univariate generalized modified discrete Weibull distribution, such as survival function, probability mass function, hazard rate function, probability generating function, and moment generating function, are derived. The joint distribution function, joint probability mass function, marginal distributions, moment generating function, and conditional distribution of the proposed bivariate distribution are derived. Parameters of the distributions are estimated using maximum likelihood estimation. The use of these distributions is illustrated using real-life datasets.

Here the notion of random self-decomposability is generalised further. The notion is then extended to distributions on Z+ = {0, 1, 2,...}.

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Published

2014-12-01

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How to Cite

1.
A note on generalising random self-decomposability: A note on generalising random self-decomposability. JKSA [Internet]. 2014 Dec. 1 [cited 2025 Oct. 30];25(1):67-71. Available from: https://ojs.ksa.org.in/index.php/JKSA/article/view/10