In statistics, a weighted median of a sample is the 50% weighted percentile.[1][2][3] It was first proposed by F. Y. Edgeworth in 1888.[4][5] Like the median, it is useful as an estimator of central tendency, robust against outliers. It allows for non-uniform statistical weights related to, e.g., varying precision measurements in the sample.
- ^ Cormen, Thomas H.; Leiserson, Charles E.; Rivest, Ronald L.; Stein, Clifford (2001). Introduction to Algorithms. MIT Press. ISBN 9780262032933.
- ^ Horowitz, Ellis; Sahni, Sartaj; Rajasekaran, Sanguthevar (1996-12-15). Computer Algorithms C++: C++ and Pseudocode Versions. Macmillan. ISBN 9780716783152.
- ^ Bovik, Alan C (2010-07-21). Handbook of Image and Video Processing. Academic Press. ISBN 9780080533612.
- ^ Edgeworth, F. Y. (1888). "On a New Method of Reducing Observations Relating to Several Quantities". Philosophical Magazine. 25 (154): 184–191. doi:10.1080/14786448808628170.
- ^ Edgeworth, F. Y. (1887). "On Observations Relating to Several Quantities". Hermathena. 6 (13). Trinity College Dublin: 279–285. JSTOR 23036355.