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A Kind of Method of Multi-dimensional Probability Density Function Structured by One-dimensional Probability Density Function

Jin Xiu-yan

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Abstract

In the literature [1],the method structuring from the probability density function of one-dimensional continual random variable to the probability density function of two-dimensional continual random variable have been given.In this paper I have promoted the method produced in the literature [1].That is I have given the method structuring from the probability density function of one-dimensional continual random variable to the three-dimensional continual random variable.I have made the proof and given some examples to explain how to structure multi-dimensional probability density function,its method is easy and feasible.

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What this paper is about

In the literature [1],the method structuring from the probability density function of one-dimensional continual random variable to the probability density function of two-dimensional continual random variable have been given.In this paper I have promoted the method produced in the literature [1].That is I have given the method structuring from the probability density function of one-dimensional continual random variable to the three-dimensional continual random variable.I have made the proof and given some examples to explain how to structure multi-dimensional probability density function,its method is easy and feasible.

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Available abstract

In the literature [1],the method structuring from the probability density function of one-dimensional continual random variable to the probability density function of two-dimensional continual random variable have been given.In this paper I have promoted the method produced in the literature [1].That is I have given the method structuring from the probability density function of one-dimensional continual random variable to the three-dimensional continual random variable.I have made the proof and given some examples to explain how to structure multi-dimensional probability density function,its method is easy and feasible.

Key concepts: Probability density function, Mathematics, Probability-generating function, Random variable, Moment-generating function, Probability mass function, Characteristic function (probability theory), Symmetric probability distribution

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