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Equal-bin-width histogram versus equal-bin-count histogram

机译:相等-Bin宽度直方图与相等-Bin计数直方图

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The histogram has all its bin widths equal to some non-random number arbitrary set by an analyst (EBWH). In the result, particular bin counts are random variables. This paper presents also a histogram that is constructed in a converse manner. Bin counts are all equal to some non-random number arbitrary set by an analyst (EBCH). In the result, particular bin widths are random variables. The first goal of the paper is a choose of constant bin width (of bin numbersk) in the EBWH, which maximize the similarity measure in the Monte Carlo simulation. The second goal is a choose of constant bin count in the EBCH, which maximize the similarity measure in the Monte Carlo simulation. The third goal is to present similarity measures between empirical and theoretical data. The fourth goal is the comparative analysis of two histogram methods by means of the frequency formula. The first additional goal is a tip how to proceed in EBCH when modulo(n,k)not equal 0. The second additional goal is the software in the form of a Mathcad file with the implementation of EBWH and EBCH.
机译:直方图具有其所有bin宽度等于分析师(EBWh)的一些非随机数任意。结果,特定的箱数是随机变量。本文还呈现了以逆机构建的直方图。宾纳计数全部等于分析师(ebch)的一些非随机数。结果,特定的Bin宽度是随机变量。本文的第一个目标是EBWH中的恒定箱宽度(箱数K),最大化蒙特卡罗模拟中的相似度。第二个目标是EBCH中的常量箱数,最大化Monte Carlo仿真中的相似度量。第三个目标是在经验和理论数据之间存在相似度措施。第四个目标是通过频率公式对两个直方图方法进行比较分析。第一个额外目标是提示在Modulo(n,k)不等于0时如何在ebch中进行eBCH。第二个额外目标是Mathcad文件形式的软件,其中包含EBWH和EBCH。

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