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Educational and Psychological Measurement
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Exact Goodness-Of-Fit Probability Tests for Analyzing Categorical Data

Paul W. Mielke, JR.

Colorado State University, Fort Collins

Kenneth J. Berry

Colorado State University, Fort Collins, berry{at}lamar.colostate.edu

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.

Educational and Psychological Measurement, Vol. 53, No. 3, 707-710 (1993)
DOI: 10.1177/0013164493053003014


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K. J. Berry and P. W. Mielke JR.
Computer Studies Nonasymptotic Goodness-Of-Fit Tests for Categorical Data
Educational and Psychological Measurement, September 1, 1994; 54(3): 676 - 679.
[Abstract]