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A general non-central hypergeometric distribution
Authors:Simon Loertscher  Peter G Taylor
Institution:1. Department of Economics, The University of Melbourne, Parkville, VIC, Australia;2. School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia
Abstract:We construct a general non-central hypergeometric distribution, which models biased sampling without replacement. Our distribution is constructed from the combined order statistics of two samples: one of independent and identically distributed random variables with absolutely continuous distribution F and the other of independent and identically distributed random variables with absolutely continuous distribution G. The distribution depends on F and G only through FG( ? 1) (F composed with the quantile function of G), and the standard hypergeometric distribution and Wallenius’ non-central hypergeometric distribution arise as special cases. We show in efficient economic markets the quantity traded has a general non-central hypergeometric distribution.
Keywords:Efficient market quantity  mechanism design  non-central hypergeometric distributions  sampling without replacement  two-sample order statistics  Wallenius
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