Robust nonparametric generator of random variables for processing of minisodar measurements

V. A. Simakhin; L. G. Shamanaeva; A. B. Maer

doi:10.1117/12.2574453

12 November 2020 Robust nonparametric generator of random variables for processing of minisodar measurements

V. A. Simakhin, L. G. Shamanaeva, A. B. Maer

Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 115605Z (2020) https://doi.org/10.1117/12.2574453
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation

Abstract

In the report, bootstrap procedures for processing of physics experimental data are proposed to solve semi-nonparametric problems. An algorithm for constructing a robust nonparametric generator of random variables is suggested and subsequently implemented in bootstrap procedures. The semi-nonparametric bootstrap procedures are used to process minisodar measurements of wind velocity components in the atmospheric boundary layer.

Citation Download Citation

V. A. Simakhin, L. G. Shamanaeva, and A. B. Maer "Robust nonparametric generator of random variables for processing of minisodar measurements", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 115605Z (12 November 2020); https://doi.org/10.1117/12.2574453

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