L Rimoldini - arXiv preprint arXiv:1304.6564, 2013 - Citeseer
Central moments and cumulants are often employed to characterize the distribution of data. The skewness and kurtosis are particularly useful for the detection of outliers, the …
L Rimoldini - Astronomy and Computing, 2014 - ui.adsabs.harvard.edu
Central moments and cumulants are often employed to characterize the distribution of data. The skewness and kurtosis are particularly useful for the detection of outliers, the …
L Rimoldini - arXiv preprint arXiv:1304.6564, 2013 - arxiv.org
Central moments and cumulants are often employed to characterize the distribution of data. The skewness and kurtosis are particularly useful for the detection of outliers, the …
L Rimoldini - Astron. Comput., 2014 - inspirehep.net
Central moments and cumulants are often employed to characterize the distribution of data. The skewness and kurtosis are particularly useful for the detection of outliers, the …
L Rimoldini - Astronomy and Computing, 2014 - infona.pl
Central moments and cumulants are often employed to characterize the distribution of data. The skewness and kurtosis are particularly useful for the detection of outliers, the …
L Rimoldini - Astronomy and Computing, 2014 - ui.adsabs.harvard.edu
Central moments and cumulants are often employed to characterize the distribution of data. The skewness and kurtosis are particularly useful for the detection of outliers, the …