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

V. A. Simakhin; L. G. Shamanaeva

doi:10.1117/12.2574403

12 November 2020 Semiparametric maximum likelihood estimates in problems of processing data of minisodar measurements in the ABL

V. A. Simakhin, L. G. Shamanaeva

Author Affiliations +

Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 115605W (2020) https://doi.org/10.1117/12.2574403
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation

Abstract

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.

Citation Download Citation

V. A. Simakhin and L. G. Shamanaeva "Semiparametric maximum likelihood estimates in problems of processing data of minisodar measurements in the ABL", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 115605W (12 November 2020); https://doi.org/10.1117/12.2574403

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