Half-Cauchy Chen Distribution with Theories and Applications

Authors

  • Arun Kumar Chaudhary Department of Management Science, Nepal Commerce Campus, Tribhuvan University, Nepal
  • Ram Suresh Yadav Department of Mathematics and Statistics, DDU Gorakhpur University, Gorakhpur, India
  • Vijay Kumar Department of Mathematics and Statistics, DDU Gorakhpur University, Gorakhpur, India

DOI:

https://doi.org/10.3126/jist.v28i1.56494

Keywords:

Chen distribution, Half Cauchy distribution, Hazard function, MLE

Abstract

In this article, we have suggested the three-parameter half-Cauchy Chen distribution which has been derived by compounding a continuous Chen distribution with the half-Cauchy family of distribution. The hazard rate function (HRF), quantile function, reversed hazard rate function, survival function,  cumulative distribution function (CDF), probability density function (PDF), kurtosis, and skewness of the suggested distribution are some of its statistical properties and characteristics that are explored. Utilizing the methods of LSE, CVM, and MLE, the parameters of the new distribution are computed. All the calculations are performed with the aid of R programming software. To assess the application of the new distribution, two real data sets are analyzed and performed the goodness-of-fit. It is found that the half-Cauchy Chen distribution outperformed a few other existing distributions. We hope that this distribution will contribute to the field of real data analysis.

Downloads

Download data is not yet available.
Abstract
101
PDF
129

Downloads

Published

2023-06-21

How to Cite

Chaudhary, A. K., Yadav, R. S., & Kumar, V. (2023). Half-Cauchy Chen Distribution with Theories and Applications. Journal of Institute of Science and Technology, 28(1), 45–55. https://doi.org/10.3126/jist.v28i1.56494

Issue

Section

Research Articles