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

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

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This article introduces an extension of the Power Muth (PM) distribution for modeling positive data sets with a high coefficient of kurtosis.The resulting distribution has greater kurtosis than hiboost 4k smart link 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 merrick backcountry wet cat food its coefficients of asymmetry and kurtosis.We apply estimations using the moments and maximum likelihood methods 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.