Volume 17, Issue 3, September 2018, Pages 478 - 490
Generalized Poisson and Geometric Distributions – An Alternative Approach
Authors
Md. Tareq Ferdous Khanmdtareqferdo2017@fau.edu
Department of Mathematical Sciences, Florida Atlantic University, Boca Raton, FL 33431, USA
Mian Arif Shams Adnanmaadnan@bsu.edu
Department of Mathematical Science, Ball State University, Muncie, IN 47304, USA
Md. Forhad Hossainforhad.ju88@yahoo.com
Department of Statistics, Jahangirnagar University, Dhaka-1342, Bangladesh
Abdullah Albalawi
Department of Mathematical Science, Ball State University, Muncie, IN 47304, USA
Received 3 March 2016, Accepted 30 July 2017, Available Online 30 September 2018.
- DOI
- 10.2991/jsta.2018.17.3.6How to use a DOI?
- Keywords
- Generalized Poisson distribution; Generalized Geometric distribution; Sampling method; Distributional properties
- Abstract
An alternative approach of Poisson and Geometric distributions having a more general form of sampling method are suggested in this paper and defined them as generalized Poisson and generalized Geometric distributions respectively. It is evident that the traditional forms of both the distributions are the special cases of the proposed generalized distributions. Moreover, some distributional properties of the suggested distributions are derived here. The study also fixes the assumptions under which generalized Binomial distribution reduces to generalized Poisson distribution along with proof.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Md. Tareq Ferdous Khan AU - Mian Arif Shams Adnan AU - Md. Forhad Hossain AU - Abdullah Albalawi PY - 2018 DA - 2018/09/30 TI - Generalized Poisson and Geometric Distributions – An Alternative Approach JO - Journal of Statistical Theory and Applications SP - 478 EP - 490 VL - 17 IS - 3 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.2018.17.3.6 DO - 10.2991/jsta.2018.17.3.6 ID - Khan2018 ER -