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The Inverse Hypergeometric distribution InvHypergeo(s,D,M) models the total number of trials one would have before achieving the sth success in a hypergeometric sampling where there are D individuals of interest (their selection is a 'success') in a population of size M. Four examples of the Inverse Hypergeometric distribution are shown below:


The Inverse Hypergeometric distribution is not directly available with Crystal Ball, but can be easily constructed via the 2017-11-06_21-56-43_ Discrete distribution as shown in the spreadsheet Image Removed Image AddedHyperGeoTrials. This model allows one to maintain the advantages of Latin Hypercube sampling.