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DISCUSSION II ON FITTING EQUATIONS TO SENSORY DATA
Author(s) -
SEIFERHELD STEVEN M.
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.tb00405.x
Subject(s) - forcing (mathematics) , sensory system , regression , mathematics , statistics , variable (mathematics) , psychology , regression analysis , aggregate (composite) , econometrics , computer science , cognitive psychology , mathematical analysis , materials science , composite material
In his article “ On Fitting Equations to Sensory Data.” Moskowitz suggests many strategies for model fitting which depart from current statistical methodology. Four areas discussed by Moskowitz are addressed here: (1) Forcing terms into a model; (2) The use of hold‐out samples; (3) The use of aggregate data (averaging across people, suppressing the person‐to‐person variation); and (4) The use of random data as a predictor variable in a regression equation. All four of these points will be examined within this article.