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A Robust Test for Elliptical Symmetry. (arXiv:2006.03311v4 [math.ST] UPDATED)
cs.LG updates on arXiv.org arxiv.org
Most signal processing and statistical applications heavily rely on specific
data distribution models. The Gaussian distributions, although being the most
common choice, are inadequate in most real world scenarios as they fail to
account for data coming from heavy-tailed populations or contaminated by
outliers. Such problems call for the use of Robust Statistics. The robust
models and estimators are usually based on elliptical populations, making the
latter ubiquitous in all methods of robust statistics. To determine whether
such tools are …
applications arxiv call case data distribution making math outliers processing signal statistical statistics symmetry test tests tools world