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Title: Exact permutation/randomization tests algorithms Authors:  Subir Ghosh - University of California (United States) [presenting]
Abstract: R. A. Fisher described the exact permutation and randomization tests for comparative experiments without assuming normality or any particular probability distribution. While having this as an attractive feature, the computational challenge was a disadvantage at that time but not now with modern computers. A permutation/randomization data algorithm is introduced to generate the permutation/randomization distributions under the null hypotheses for calculating the P-values. The properties of permutation/randomization data matrices developed by algorithms following the proposed mathematical processes are derived. Two illustrative examples demonstrate the usefulness of the proposed computational methods.