In this work we propose a fast algorithm for computing the exact small sam- pling distribution of a given statistic, when the population random variable is discrete. The algorithm relies on a recursion on block matrices that describes all possible random samples that can be generated. In this way, the power of modern programming which deÞnes objects in term of matrices is fully exploited for effective computations. Finally, some instances of applications are shown.

A fast algorithm for computing the sampling distribution of a statistic from discrete populations

PICCOLO, DOMENICO
2005

Abstract

In this work we propose a fast algorithm for computing the exact small sam- pling distribution of a given statistic, when the population random variable is discrete. The algorithm relies on a recursion on block matrices that describes all possible random samples that can be generated. In this way, the power of modern programming which deÞnes objects in term of matrices is fully exploited for effective computations. Finally, some instances of applications are shown.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/108240
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