Editing Median (section)

===Pseudo-median===
{{Main|Pseudomedian}}
For univariate distributions that are ''symmetric'' about one median, the [[Hodges–Lehmann estimator]] is a robust and highly efficient estimator of the population median; for non-symmetric distributions, the Hodges–Lehmann estimator is a robust and highly efficient estimator of the population ''pseudo-median'', which is the median of a symmetrized distribution and which is close to the population median.<ref>{{Cite journal|last1=Pratt|first1=William K.|last2=Cooper|first2=Ted J.|last3=Kabir|first3=Ihtisham|s2cid=173183609|editor1-first=Francis J|editor1-last=Corbett|date=1985-07-11|title=Pseudomedian Filter|journal=Architectures and Algorithms for Digital Image Processing II|volume=0534|pages=34|doi=10.1117/12.946562|bibcode=1985SPIE..534...34P}}</ref> The Hodges–Lehmann estimator has been generalized to multivariate distributions.<ref name="Oja 2010 xiv+232">{{cite book|title=Multivariate nonparametric methods with&nbsp;''R'': An approach based on spatial signs and ranks|last=Oja|first=Hannu|publisher=Springer|year=2010|isbn=978-1-4419-0467-6|series=Lecture Notes in Statistics|volume=199|location=New York, NY|pages=xiv+232|doi=10.1007/978-1-4419-0468-3|mr=2598854}}</ref>