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Between the mean and the median: the L-p estimator

机译:在均值和中位数之间:L-p估计量

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摘要

This paper presents the class of the L-p (least power) estimators and their main properties. Particular estimators belonging to such a class are well known in metrology, like the sample median, the sample mean and the mid-range (that is the L-p estimator with p = 1, 2,8, respectively), whereas the L-p estimator with generic p is not yet applied within the metrological context. Thanks to robustness and efficiency properties intermediate between those of the sample mean and the sample median, the L-p estimator with 1 < p < 2 ( in particular, with p = 1.5) appears suitable for the statistical processing of experimental results. Application examples of the L-p estimator to international intercomparison data processing are reported.
机译:本文介绍了L-p(最小功率)估计器的类别及其主要属性。属于此类的特定估计量在计量学中是众所周知的,例如样本中位数,样本均值和中间范围(分别是p = 1,2,8的Lp估计量),而通用的Lp估计量p尚未在度量范围内应用。由于稳健性和效率属性介于样本均值和样本中位数之间,因此1 <2(特别是p = 1.5)的L-p估计量似乎适合于实验结果的统计处理。报告了L-p估计器在国际比较数据处理中的应用示例。

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