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Individual data and clear assumptions about movement

Published online by Cambridge University Press:  30 August 2019

Jan E. Holly
Affiliation:
Department of Mathematics and Computer Science, Colby College, Waterville, ME 04901 jeholly@colby.edu
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Abstract

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It is important to study movement data from individual subjects rather than by averaging data across subjects or trials, because averaged data may follow different laws than those followed by the individual data. This fact can be shown mathematically. In addition, clear assumptions and a thorough understanding of their consequences are a necessary component of any realistic model.

Type
Open Peer Commentary
Copyright
1997 Cambridge University Press