Accurate statistical tests for smooth classification images.
Despite an obvious demand for a variety of statistical tests adapted to classification images, few have been proposed. We argue that two statistical tests based on random field theory (RFT) satisfy this need for smooth classification images. We illustrate these tests on classification images representative of the literature from F. Gosselin and P. G. Schyns (2001) and from A. B. Sekuler, C. M. Gaspar, J. M. Gold, and P. J. Bennett (2004). The necessary computations are performed using the Stat4Ci Matlab toolbox.
Chauvin
Alan
A
Département de Psychologie, Université de Montréal, Montréal, QC, Canada. alan.chauvin@univ-lille3.fr
Worsley
Keith J
KJ
Schyns
Philippe G
PG
Arguin
Martin
M
Gosselin
Frédéric
F
D002965:Classification; D003952:Diagnostic Imaging; D006801:Humans; D013223:Statistics as Topic / Q000592:standards