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MPROB: Computation of multinomial probabilities
Authors:Miguel A. García-Pérez
Affiliation:1. Departamento de Metodología, Facultad de Psicología, Universidad Complutense, Campus de Somosaguas, 28223, Madrid, Spain
Abstract:An algorithm for computing exact multinomial probabilities is presented that uses the fewest number of operations that are possible without symbolic simplification of the multinomial coefficient and performs them in a sequence that minimizes the potential for overflow or underflow errors. Multinomial probabilities computed with this algorithm are accurate to machine precision, unlike those based on logarithmic transformations and/or the evaluation of factorials, using Stirling’s approximation.
Keywords:
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