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Systematic averaging interval effects on solar wind statistics
Author(s) -
Isaacs J. J.,
Tessein J. A.,
Matthaeus W. H.
Publication year - 2015
Publication title -
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
eISSN - 2169-9402
pISSN - 2169-9380
DOI - 10.1002/2014ja020661
Subject(s) - statistics , solar wind , interval (graph theory) , sample size determination , sampling (signal processing) , summary statistics , sampling interval , physics , statistical physics , mathematics , meteorology , magnetic field , optics , combinatorics , quantum mechanics , detector
The choice of interval of averaging in computing statistics of solar wind fluctuations is known to be a sensitive issue in which the need for adequate sampling statistics must be balanced with the complications of establishing an ensemble, given that the solar wind admits inhomogeneity, structure, and variability at its sources. Here we examine the quantitative dependence of interval of averaging (sample size) on estimates of basic statistics such as means, variances, and anisotropies of the measured interplanetary magnetic field.

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