Modified exponentiated inverted exponential distribution with applications to life time dataset

Authors

  • Arun Kumar Chaudhary Associate Professor, Nepal Commerce Campus, Tribhuvan University
  • Lal Babu Sah Telee Lecturer, Nepal Commerce Campus, Kathmandu, Nepal

DOI:

https://doi.org/10.3126/nccj.v7i1.58619

Keywords:

Density Function, Model Validation, Information Criteria, Cumulative Distribution

Abstract

In this article, we have introduced a new probability distribution called Modified Exponentiated Inverted Exponential (MEIE) Distribution. The introduced model is right tailed increasing- decreasing hazard rate function. We have discussed some statistical properties like probability density function, cumulative distribution function, survival function and hazard rate function etc. Model parameters are estimated via Maximum Likelihood, Least Squares, and Cramer-Von Mises estimation techniques. To check the applicability a real data set is taken and the model validation is checked using different information criteria as well as using some graphical techniques. For model comparison we have considered some published probability model.

Downloads

Download data is not yet available.
Abstract
43
PDF
65

Downloads

Published

2022-12-31

How to Cite

Chaudhary, A. K., & Sah Telee, L. B. (2022). Modified exponentiated inverted exponential distribution with applications to life time dataset. NCC Journal, 7(1), 47–58. https://doi.org/10.3126/nccj.v7i1.58619

Issue

Section

Articles