Abstract
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.
Original language | English |
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Article number | Article 211 |
Journal | Frontiers in Psychology |
Volume | 1 |
Issue number | DEC |
DOIs | |
State | Published - 2010 |
Externally published | Yes |
Keywords
- Discriminability
- Permutations
- Regular minimality