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Minimum variance analysis was applied to find the mirror type fluctuations, and the amplitude of the fluctuations was determined individually.
Besides triangulation we also applied Minimum Variance Analysis (MVA) to the remaining 129 DDs in order to estimate their normals.
The minimum variance analysis (MVA) has been widely used in studies of the current sheet in the tail or at the magnetopause with single-satellite magnetometer data.
The wave vector directions are estimated by minimum variance analysis (MVA) (Sonnerup and Scheible 1998).
Fig. 3 A hodograph presentation of the minimum variance analysis for the 17 March 2015 magnetic cloud (MC).
For a comparison, we also estimated the normal angles using the minimum variance analysis (MVA) and coplanarity methods (Takeuchi et al. 2002; Keika et al. 2009).
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Setting p = 2 results in the classical minimum variance LP analysis problem.
The solution to the l1-norm minimization is not as easy as the classical minimum variance LP analysis problem but it can be solved by recasting the minimization problem into a linear program [12] and then using convex optimization tools [5].
We determined broad-sense heritability of candidates, Pearson correlation of candidates with healing phenotypes, and Ward minimum variance cluster analysis for strains.
The event showed a large perturbation in the magnetic normal component, inconsistent with a one-dimensional reconnection layer configuration, and causing a poor result in a minimum magnetic variance analysis.
Indeed, the computational complexity of the proposed method is roughly the same as the classic minimum variance linear prediction analysis approach.
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