Poisson Inverse NHE Distribution with Theory and Applications
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Statistics | India | Volume 9 Issue 12, December 2020

Poisson Inverse NHE Distribution with Theory and Applications

Arun Kumar Chaudhary, Vijay Kumar

In the presented work, a new three parameter continuous distribution with three parameter termed Poisson inverse NHE distribution using the Poisson-Generating family of distribution with the purpose of study of lifetime data. Relevant statistical as well mathematical properties pertaining to the distribution including Probabiliy Density Function (PDF), Cumulative Distribution Function (CDF) have been described to build a clearer understanding of the proposed distribution. To estimate the model parameters of the distribution we have used well established Maximum Likelihood estimation (MLE) along with Cramer-Von-Mises estimation (CVME) and least-square estimation (LSE) methods. We have constructed the asymptotic confidence intervals and Fisher information matrix analytically to obtain the variance-covariance matrix for MLEs. These calculations are carried out in the platform of R software. The potentiality of the model that is introduced is judged by using some graphical methods and goodness-of-fit test by considering a real dataset. We have empirically proven that the proposed distribution provided a better fit and more flexible in comparison with some selected lifetime distributions.

Keywords: Poisson-G family, Inverse NHE, Estimation, MLE

Edition: Volume 9 Issue 12, December 2020

Pages: 1603 - 1610

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How to Cite this Article?

Arun Kumar Chaudhary, Vijay Kumar, "Poisson Inverse NHE Distribution with Theory and Applications", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SR201226151601, Volume 9 Issue 12, December 2020, 1603 - 1610

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