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      측정평가 : 단일변인 중복면적: 개념과 추정방법 = Univariate Overlap Zone: its concept and estimating method

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      https://www.riss.kr/link?id=A106553599

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      다국어 초록 (Multilingual Abstract)

      The purpose of this study was to introduce on univariate Overlap Zone (OZ) and applicate on MS-Excel programing for OZ. OZ is mean that two distributions are the degree to overlapping. Two distributions can differ from each other if the mean of one is dislocated relative to the other, if the variability of one is markedly different from the other. It would like to be able to quantify in OZ for a selection pressure, there are some difficult on OZ calculation because it is need to calculate by iteration over 10 or more for the intersection of two curves. The easyOZ by Excel is program for compute OZ based on the MS-Excel by Microsoft. This OZ and Easy OZ would allow us to understand more completely the relative importance of different anthropometric variables, make informed judgments about talent identification criteria, and compare selection pressures in population subgroups such as males vs females, or national-level player vs international-level player.
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      The purpose of this study was to introduce on univariate Overlap Zone (OZ) and applicate on MS-Excel programing for OZ. OZ is mean that two distributions are the degree to overlapping. Two distributions can differ from each other if the mean of one is...

      The purpose of this study was to introduce on univariate Overlap Zone (OZ) and applicate on MS-Excel programing for OZ. OZ is mean that two distributions are the degree to overlapping. Two distributions can differ from each other if the mean of one is dislocated relative to the other, if the variability of one is markedly different from the other. It would like to be able to quantify in OZ for a selection pressure, there are some difficult on OZ calculation because it is need to calculate by iteration over 10 or more for the intersection of two curves. The easyOZ by Excel is program for compute OZ based on the MS-Excel by Microsoft. This OZ and Easy OZ would allow us to understand more completely the relative importance of different anthropometric variables, make informed judgments about talent identification criteria, and compare selection pressures in population subgroups such as males vs females, or national-level player vs international-level player.

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