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Improved goodness-of-fit measures

机译:改善拟合优度的方法

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摘要

New goodness-of-fit measures which are significant improvements on existing measures are described. They use the intuitive geometrical concept of the area enclosed by the curve of a fitted distribution and the profile of the empirical cumulative distribution function. A transformation of this profile simplifies the geometry and provides three new goodness-of-fit tests. The integrity of this transformation is justified by topological arguments. The new tests provide a quantitative justification for qualitative judgements on goodness-of-fit, are independent of population size and provide a workable way to objectively choose a best fit distribution from a group of candidate distributions.
机译:描述了新的拟合优度度量,它是对现有度量的重大改进。他们使用由拟合分布曲线和经验累积分布函数的轮廓包围的区域的直观几何概念。此轮廓的转换简化了几何形状,并提供了三个新的拟合优度测试。拓扑论证证明了这种转换的完整性。新的测试为拟合优度的定性判断提供了定量依据,与人口规模无关,并且为从一组候选分布中客观选择最佳拟合分布提供了一种可行的方法。

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