A Reliability Model Based on the Incomplete Generalized Integro-Exponential Function

A Reliability Model Based on the Incomplete Generalized Integro-Exponential Function

Blog Article

This article introduces an extension Vacuum Brush Roller of the Power Muth (PM) distribution for modeling positive data sets with a high coefficient of kurtosis.The resulting distribution has greater kurtosis than the PM distribution.We show that the density can be represented based on the incomplete generalized integro-exponential function.We study some of its properties and moments, and its coefficients of asymmetry and kurtosis.We apply estimations using the moments and maximum likelihood methods Coverlet Set and present a simulation study to illustrate parameter recovery.

The results of application to two real data sets indicate that the new model performs very well in the presence of outliers.