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Median split, k-group split, and optimality in continuous populations

机译:中值分裂,k群分裂和连续种群的最优性

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摘要

Continuous populations are grouped in many social, economic, medical, or technical fields of research. However, by grouping them, a lot of information provided by the continuous population is lost. Especially the median split, which is still adopted by many researchers, and its generalization to an equiprobable k-group split lead to a high efficiency loss. Here, this loss of information is investigated by analytical and numerical analyses for some typical symmetric and skew population distributions often found in applications. Various distribution parameters, numbers of groups, and split methods are taken from theoretical considerations and real data sets. Losses sometimes in excess of 50% can be reduced by optimal grouping.
机译:连续人口分为许多社会,经济,医学或技术研究领域。但是,通过对它们进行分组,连续人口提供的许多信息会丢失。特别是许多研究人员仍然采用的中位数拆分,以及将其推广到等概率的k组拆分会导致高效率损失。在这里,通过分析和数值分析对一些经常在应用程序中发现的典型对称和偏斜总体分布进行了信息丢失研究。各种分布参数,组数和拆分方法均从理论考虑和实际数据集中获得。最佳分组可以减少有时超过50%的损失。

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