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A note on the median of a distribution
Authors:Dale Umbach
Institution:(1) Ball State University, USA
Abstract:Summary LetF be a distribution function over the real line. DefineR p(y)=∫|x−y|pdF(x) forp≧1. Forp>1 there is a unique minimizer ofR p(·), sayγ p. Under mild conditions onF it is shown that 
$$\mathop {\lim }\limits_{p \to 1} \gamma _p $$
exists and that the limit is a median. Thus, one could use this limit as a definition of a unique median. Also it is shown that 
$$\mathop {\lim }\limits_{p \to 1} \gamma _p  = {{\left( {R + L} \right)} \mathord{\left/ {\vphantom {{\left( {R + L} \right)} 2}} \right. \kern-\nulldelimiterspace} 2}$$
whereR is the right extremity ofF andL is the left extremity ofF provided that −∞<LR<∞. A similar result is available ifL=−∞,R=∞, yetF has symmetric tails.
Keywords:Median  minimum risk
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