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A Simple Approximation to the Area under Standard Normal Curve

机译:标准正态曲线下面积的简单逼近

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Of all statistical distributions, the standard normal is perhaps the most popular and widely used. Its use often involves computing the area under its probability curve. Unlike many other statistical distributions, there is no closed form theoretical expression for this area in case of the normal distribution. Consequently it has to be approximated. While there are a number of highly complex but accurate algorithms, some simple ones have also been proposed in literature. Even though the simple ones may not be very accurate, they are nevertheless useful as accuracy has to be gauged vis-à-vis simplicity. In this short paper, we present another simple approximation formula to the cumulative distribution function of standard normal distribution. This new formula is fairly good when judged vis-à-vis its simplicity.
机译:在所有统计分布中,标准正态可能是最受欢迎和使用最广泛的。它的使用通常涉及计算其概率曲线下的面积。与许多其他统计分布不同,在正态分布的情况下,该区域没有封闭形式的理论表达式。因此,它必须是近似的。尽管存在许多高度复杂但精确的算法,但文献中也提出了一些简单的算法。即使简单的精度可能不是很准确,但是它们还是很有用的,因为必须相对于简单性来衡量精度。在本文中,我们为标准正态分布的累积分布函数提供了另一个简单的近似公式。相对于其简单性而言,这个新公式相当不错。

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