Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere
Abstract
:1. Introduction
2. Procedure of Outlier Detection and Selection
2.1. Adaptive Pendular Truncation Algorithm
2.2. Adaptive Pendular Truncation Algorithm
- Calculate ,
- Calculate ,
- Sort the variables , ,
- Calculate ,
- Calculate ,
- Find the first-order differences ,
- Find the second-order differences ,
- Remove the observation corresponding to from the sample,
- Execute the above cycle from item 1 to item 9 for .
Generalization of the Algorithm
3. Simulation
3.1. Remote Outliers
3.2. Asymmetry
3.3. Correlation
4. Statistical Analysis of Vertical Profiles of Wind Velocity Components from Results of Minisodar Measurements using the Pendular Truncation Algorithm
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
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Krasnenko, N.; Simakhin, V.; Shamanaeva, L.; Cherepanov, O. Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere. Symmetry 2019, 11, 961. https://doi.org/10.3390/sym11080961
Krasnenko N, Simakhin V, Shamanaeva L, Cherepanov O. Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere. Symmetry. 2019; 11(8):961. https://doi.org/10.3390/sym11080961
Chicago/Turabian StyleKrasnenko, Nikolay, Valerii Simakhin, Liudmila Shamanaeva, and Oleg Cherepanov. 2019. "Robust Nonparametric Methods of Statistical Analysis of Wind Velocity Components in Acoustic Sounding of the Lower Layer of the Atmosphere" Symmetry 11, no. 8: 961. https://doi.org/10.3390/sym11080961