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Using the Average of the Extreme Values of a TriangularDistribution for a Transformation, and Its Approximantvia the Continuous Uniform Distribution

机译:使用三角分布的极值平均值进行变换,以及通过连续均匀分布进行近似

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This paper introduces a new probability distribution referred to as a transformed triangular distribution (TTD) by using the average of the extreme values (minimum and maximum) of the triangular distribution. The TTD is being approximated by the continuous uniform distribution. The basic moments of the TTD and those of the continuous uniform distribution are compared respectively, and a relationship established. This can be used in modeling and simulation.
机译:本文通过使用三角分布的极值(最小值和最大值)的平均值,介绍了一种称为变换三角分布(TTD)的新概率分布。通过连续均匀分布来近似TTD。分别比较了TTD的基本矩和连续均匀分布的基本矩,并建立了关系。这可以用于建模和仿真。

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