2013•Journal of Yangtze UniversityRequires access

The Auxiliary Random Variable Method for Probability Density of Continuous Random Variable Function

Tang Bao-xi

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Abstract

A new method is introduced to calculate the probability density function by use of an auxiliary random variable,in which the exist of the inverse function or subregional inverse function of random variable function is not needed.The examples show that a few types of random function have analytic solutions.As a result,a theoretical basis is set up for the numerical computation probability density function of the general type of random function.

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What this paper is about

A new method is introduced to calculate the probability density function by use of an auxiliary random variable,in which the exist of the inverse function or subregional inverse function of random variable function is not needed.The examples show that a few types of random function have analytic solutions.As a result,a theoretical basis is set up for the numerical computation probability density function of the general type of random function.

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Available abstract

A new method is introduced to calculate the probability density function by use of an auxiliary random variable,in which the exist of the inverse function or subregional inverse function of random variable function is not needed.The examples show that a few types of random function have analytic solutions.As a result,a theoretical basis is set up for the numerical computation probability density function of the general type of random function.

Key concepts: Probability density function, Random variable, Random function, Mathematics, Characteristic function (probability theory), Probability-generating function, Moment-generating function, Sum of normally distributed random variables

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