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

被引:0
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作者
Simakhin, V. A. [1 ]
Shamanaeva, L. G. [2 ,3 ]
机构
[1] Kurgan State Univ, Tomina Str 40, Kurgan 640000, Russia
[2] VE Zuev Inst Atmospher Opt SB RAS, 1 Academician Zuev Sq, Tomsk 634021, Russia
[3] Natl Res Tomsk State Univ, 36 Lenin Ave, Tomsk 634050, Russia
关键词
Statistical processing of physics experimental data; semiparametric maximum likelihood estimates; acoustic sounding; vertical wind velocity profiles;
D O I
10.1117/12.2574403
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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.
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页数:6
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