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Semiparametric maximum likelihood estimates in problems of processing data of minisodar measurements in the ABL

机译:Semiparametric最大似然估计在ABL中微型透镜测量数据的处理数据

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A method of determining semiparametric robust maximum likelihood estimates for a family of the Tukey distributions is suggested. The method can be used to obtain robust estimates of data comprising not only major, but also minor outliers. It is shown that these estimates converge to the maximum likelihood estimates of semiparametric problems when the fraction and distribution of outliers are unknown. The estimates have been used to process data of minisodar measurements of vertical profiles of the wind velocity components in the ABL comprising a significant fraction of both major and minor outliers. The high efficiency of the suggested estimates is shown on particular examples.
机译:提出了一种确定用于Tukey分布的家庭的半甲稳定最大似然估计。该方法可用于获得不仅包括主要的数据,而且是轻微异常值的稳健估计。结果表明,当分数和分布未知时,这些估计会聚到半占状问题的最大似然估计。估计已经用于处理MINISODAR测量的数据的垂直轮廓的垂直分布,其包括主要和轻微异常值的显着分数。建议估计的高效率显示在特定的例子上。

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