A matrix of discrimination measures (discrimination probabilities, numerical estimates of dissimilarity, etc.) satisfies Regular Minimality (RM) if every row and every column of the matrix contains a single minimal entry, and an entry minimal in its row is minimal in its column. We derive a formula for the proportion of RM-compliant matrices among all square matrices of a given size and with no tied entries. Under a certain "meta-probabilistic" model this proportion can be interpreted as the probability with which a randomly chosen matrix turns out to be RM-compliant. © 2010 Trendtel, Ünlü and Dzhafarov.
CITATION STYLE
Trendtel, M., Ünlü, A., & Dzhafarov, E. N. (2010). Matrices satisfying regular minimality. Frontiers in Psychology, 1(DEC). https://doi.org/10.3389/fpsyg.2010.00211
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