Abstract
A two-parameter Poisson-Sujatha distribution which is a Poisson mixture of two-parameter Sujatha distribution, and includes Poisson-Sujatha distribution as particular case has been proposed. Its moments and moments based measures including coefficient of variation, skewness, kurtosis and index of dispersion have been obtained. Maximum likelihood estimation has been explained for estimating its parameters. Goodness of fit of the proposed distribution has been explained with two over-dispersed count datasets and the fit has been compared with one parameter Poisson-Lindley distribution and Poisson-Sujatha distribution and a generalization of Poisson-Sujatha distribution.
Original language | English |
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Pages (from-to) | 70-78 |
Number of pages | 9 |
Journal | American Journal of Mathematics and Statistics |
Volume | 10 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Sujatha distribution
- Poisson-Sujatha distribution
- Two-parameter Sujatha distribution
- Moments based measures
- Maximum likelihood estimation