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Modified Generalized Exponential Distribution

Authors: Lal Babu Sah Telee; Vijay Kumar;

Modified Generalized Exponential Distribution

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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