A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Developments in Robust Statistics
Asymmetry of a univariate continuous distribution is commonly described as skewness. The well-known classical skewness coefficient is based on the first three moments of the data set, and hence it is strongly affected by the presence of one or more outliers. In this paper we propose several new measures of skewness which are more robust against outlying values. Their properties are compared using both real and simulated data.doi:10.1007/978-3-642-57338-5_8 fatcat:kdo6qtpqw5e5pdmfy37i5z6s3a