|You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
|See also: types of noise, analysis of residuals
When developing models of measured data it is generally important to
analyse the residuals. One important aspect
is whether the residuals vary with the signal level, i.e. if the random
part of the signal grows with increasing signal level. We therefore distinguish
The following shows the difference between homo- and heteroscedastic data.
Last Update: 2004-Jul-03