Weighted skewness and kurtosis unbiased by sample size and Gaussian uncertainties

L Rimoldini - Astronomy and Computing, 2014 - Elsevier
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 …

[PDF][PDF] Weighted skewness and kurtosis unbiased by sample size

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 …

Weighted skewness and kurtosis unbiased by sample size and Gaussian uncertainties

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 …

Weighted skewness and kurtosis unbiased by sample size

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 …

Weighted skewness and kurtosis unbiased by sample size

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 …

Weighted skewness and kurtosis unbiased by sample size and Gaussian uncertainties

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 …

Weighted skewness and kurtosis unbiased by sample size and Gaussian uncertainties

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 …