Journal of Mathematical Problems, Equations and Statistics
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P-ISSN: 2709-9393, E-ISSN: 2709-9407

2024, Vol. 5, Issue 1, Part A


Characterization and estimation of length biased Quasi Shanker distribution with applications of real-life data


Author(s): Dr. S Arunkumar and M Karthik

Abstract: In this paper, we have introduced a length biased version of quasi Shanker distribution called as the length biased quasi Shanker distribution. The length biased distribution is a special case of weighted distribution. The newly proposed distribution addresses with different statistical properties such as order statistics, Entropies, moment generating function and likelihood ratio test. The method of maximum likelihood estimation is also used for estimating the parameters of the proposed distribution. Finally, the newly proposed distribution is demonstrated with an application of two real life data sets to illustrate its usefulness and superiority.

Pages: 46-57 | Views: 384 | Downloads: 162

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Journal of Mathematical Problems, Equations and Statistics
How to cite this article:
Dr. S Arunkumar and M Karthik. Characterization and estimation of length biased Quasi Shanker distribution with applications of real-life data. Journal of Mathematical Problems, Equations and Statistics. 2024; 5(1): 46-57.
Journal of Mathematical Problems, Equations and Statistics
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