Volume 21 No 1 (2023)
 Download PDF
A New Generalization of Two Parametric Akash Distribution With Applications
Rushika Kinjawadekar ,Berihan R. Elemary, Aafaq A. Rather, Manzor A. Khanday, Ajjaz Maqbool
Abstract
In this article, a new generalization of two parameters Akash distribution have been obtained by applying the technique of length biased known as length biased weighted two parameters Akash distribution. The different mathematical and statistical properties of the newly introduced distribution have been derived and discussed. The maximum likelihood estimate is used to estimate the parameters of the proposed distribution and also the Fisher’s information matrix have been obtained. Finally, an application for the proposed distribution has been used for examining the suitability of the newly introduced distribution.
Keywords
Weighted distribution, Reliability analysis, Order statistics, Entropies, Maximum likelihood estimation.
Copyright
Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.