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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

International Journal of Applied Research

Vol. 7, Issue 1, Part F (2021)

Arctan exponential extension distribution with properties and applications

Author(s)
Arun Kumar Chaudhary and Vijay Kumar
Abstract
In the presented work, a continuous distribution named arctan exponential extension distribution has been introduced along with relevant properties which are statistically and mathematically derived and analyzed. While estimating the model parameters, three well-known estimation methods are employed which are Cramer-Von-Mises (CVM), maximum likelihood estimation (MLE) and least-square estimation (LSE) methods. With the help of a real set of data, in comparison to existing models, the presented distribution’s goodness-of-fit is evaluated.
Pages: 432-442  |  66 Views  10 Downloads
How to cite this article:
Arun Kumar Chaudhary, Vijay Kumar. Arctan exponential extension distribution with properties and applications. Int J Appl Res 2021;7(1):432-442. DOI: 10.22271/allresearch.2021.v7.i1f.8251
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International Journal of Applied Research