Characterisation of PrasNikh–N Distribution and Its Biomedical Application

C B Praseeja; C B Prasanth; C Subramanian; T Unnikrishnan

doi:10.17485/IJST/v16i48.2522

Article

Characterisation of PrasNikh–N Distribution and Its Biomedical Application

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i48.2522

Year: 2023, Volume: 16, Issue: 48, Pages: 4667-4675

Original Article

Characterisation of PrasNikh–N Distribution and Its Biomedical Application

C B Praseeja¹, C B Prasanth^2*, C Subramanian³, T Unnikrishnan⁴

¹Research Scholar, Department of Statistics, Annamalai University, Tamil Nadu, India
²Assistant Professor, Department of Statistics, Sree Keralavarma College, Kerala, India
³Associate Professor, Department of Statistics, Annamalai University, Tamil Nadu, India
⁴Assistant Professor, Department of Statistics, Shri C Achuthamenon Govt. College, Kerala, India

*Corresponding Author
Email: [email protected]

Received Date:06 October 2023, Accepted Date:27 November 2023, Published Date:28 December 2023

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

Abstract

Objectives: A new class of Two-parameter Akash distribution is proposed and termed PrasNikh–N Distribution (P2ND). Its various structural properties are derived and researched. Methods: The concept of weighted distributions is applied. The distribution parameters have been calculated by maximum likelihood estimation. Findings: The characterisation sketch of the distribution is analysed. To examine the significance and supremacy of the distribution, this is applied to a real lifetime medical data, consists of the weight loss (kilograms (Kg)) after the first cycle of chemotherapy, of randomly selected 60 patients from a hospital in Thrissur district, Kerala who were suffering from any type of gastrointestinal (GI) cancer. The goodness of fit is tested for the same. Novelty: The results are compared with the known distributions & indicate that the proposed distribution shows a better fit than the other distributions, and hence clarifies the significance of the new distribution.

Keywords: Akash distribution, Length biased distribution, Weighted distribution, Reliability, Data

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Copyright

© 2023 Praseeja et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)