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EXTENDED STATISTICAL ANALYSIS OF RANKED DATA FROM BALANCED INCOMPLETE BLOCK AND PAIRED COMPARISON DESIGNS
Author(s) -
BEST D.J.,
RAYNER J.C.W.
Publication year - 2000
Publication title -
journal of sensory studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.61
H-Index - 53
eISSN - 1745-459X
pISSN - 0887-8250
DOI - 10.1111/j.1745-459x.2000.tb00277.x
Subject(s) - paired comparison , block (permutation group theory) , monte carlo method , statistics , mathematics , statistical analysis , computer science , block design , combinatorics
The usual Durbin analysis for ranked data obtained from a balanced incomplete block design is extended to allow for (1) dispersion effects, (2) a predetermined ordering of products and (3) more general trends. An application to paired comparison data is given. Calculation of p‐values via Monte Carlo simulation is suggested.