Fast Computation of Trimmed Means - Journal of Statistical Software
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Fast Computation of Trimmed Means - Journal of Statistical Software
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JSS
Journal of Statistical Software March 2011, Volume 39, Code Snippet 2.
http://www.jstatsoft.org/
Fast Computation of Trimmed Means Gleb Beliakov Deakin University
Abstract We present two methods of calculating trimmed means without sorting the data in O(n) time. The existing method implemented in major statistical packages relies on sorting, which takes O(n log n) time. The proposed algorithm is based on the quickselect algorithm for calculating order statistics with O(n) expected running time. It is an order of magnitude faster than the existing method for large data sets.
Keywords: trimmed mean, Winsorized mean, order statistics, sorting.
1. Introduction Trimmed means are used very frequently in statistical sciences as robust estimates of location. Trimmed means are much less sensitive to the outliers compared to the arithmetic mean. They are also often used in image processing as filters. The α%-trimmed mean of x ∈
