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Probability weighted indices for improved ecosystem report card scoring

机译:概率加权指数可改善生态系统报告卡得分

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This paper outlines a new method for computing an ecosystem index using probability weighted moments (PWMs) in place of conventional moments. Conventional methods of index construction are based on a scaled measure of the discrepancy between the sample mean and a guideline or reference value and as such tend to reflect only gross movements in distributional location. PWMs on the other hand allow for a more targeted assessment through the incorporation of a weighting function specified by the analyst. We refer to the resulting index as a probability weighted index or PWI. Although all data are used in the computation of the PWI, they do not necessarily contribute equally to the final result as is the case with conventional moments. Computational formulae and associated R code are provided, which allow the PWIs and their standard errors to be unbiasedly estimated from empirical data. Copyright © 2014 John Wiley & Sons, Ltd.
机译:本文概述了一种使用概率加权矩(PWM)代替传统矩来计算生态系统指数的新方法。常规的索引构建方法基于样本均值与准则或参考值之间差异的缩放度量,因此倾向于仅反映分布位置的总体移动。另一方面,通过合并分析人员指定的加权函数,PWM可以进行更有针对性的评估。我们将结果索引称为概率加权索引或PWI。尽管所有数据都用于PWI的计算中,但它们并不一定像常规矩一样对最终结果做出相同的贡献。提供了计算公式和相关的R代码,可以根据经验数据无偏估计PWI及其标准误差。版权所有©2014 John Wiley&Sons,Ltd.

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