Algorithms and associated FORTRAN subroutines for exact good-ness-of-fit probability tests are presented. Classifications from two to six categories are considered. The use of recursion and an arbitrary initial value ensures computational efficiency.
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References
1.
Mielke, P. W. and Berry, K. J. (1992). Fisher's exact probability test for cross-classification tables.Educational and Psychological Measurement, 52, 97-101.
