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SHORT‐CUT SIGNAL DETECTION MEASURES FOR SENSORY ANALYSIS
Author(s) -
O'MAHONY M. A. P. D.
Publication year - 1979
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.1979.tb10071.x
Subject(s) - statistics , measure (data warehouse) , mathematics , sensory system , signal (programming language) , detection theory , significant difference , pattern recognition (psychology) , parametric statistics , degree (music) , simple (philosophy) , scaling , value (mathematics) , computer science , artificial intelligence , data mining , acoustics , psychology , detector , physics , geometry , cognitive psychology , telecommunications , philosophy , epistemology , programming language
Traditional sensory difference tests demonstrate whether a difference exists or not between two flavors; to determine the degree of difference requires further scaling. The two processes can be combined for perceptually small differences using difference tests based on signal detection measures. Such measures provide a measure of degree of difference directly which being a probability value is susceptible to analysis by parametric statistics Traditional signal detection measures are complex and time consuming but the present paper outlines a short and simple means of calculating such measures.

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