Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-18T05:52:57.633Z Has data issue: false hasContentIssue false

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

Abstract

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)