Modified Generalized Exponential Distribution

Authors

  • Lal Babu Sah Telee Department of Management Science, Nepal Commerce Campus, Tribhuvan University, Nepal
  • Vijay Kumar Department of Mathematics and Statistics, DDU Gorakhpur University, Gorakhpur, India

DOI:

https://doi.org/10.3126/njmathsci.v4i1.53154

Abstract

In this article, a new distribution having three called Modified Generalized Exponential Distribution is proposed. Important statistical properties of the proposed model like survival function, hazard rate function, the probability density function (PDF), the cumulative distribution function (CDF), quantile function, skewness, and kurtosis are discussed here. Least Square Estimation (LSE), Cramer- Von Mises (CVM) and Maximum Likelihood estimators (MLE) methods are used for estimation of parameters using R programming software. A data set is discussed and performed the goodness-of-fit to assess the applications of the proposed distribution. Various methods of model comparison and model validation are also used. The proposed model Modified Generalized Exponential Distribution is more applicable as compared to some existing probability model.

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Published

2023-04-04

How to Cite

Telee, L. B. S., & Kumar, V. (2023). Modified Generalized Exponential Distribution. Nepal Journal of Mathematical Sciences, 4(1), 21–32. https://doi.org/10.3126/njmathsci.v4i1.53154

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Section

Articles