TY  - GEN
TI  - Diagnostic Plots for One-Dimensional Data
EP  - 14
Y1  - 1999/11//
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/21466/
ID  - heidok21466
N2  - How do we draw a distribution on the line? We give a survey of somewell known and some recent proposals to present such a distribution, based onsample data. We claim: a diagnostic plot is only as good as the hard statisticaltheory that is supporting it. To make this precise, one has to ask for theunderlying functionals, study their stochastic behaviour and ask for the naturalmetrics associated to a plot. We try to illustrate this point of view for someexamples.
A1  - Sawitzki, Günther
N1  - Auch erschienen in: Computational Statistics. Papers collected on the Occasionof the 25th Conference on Statistical Computing at Schloss Reisensburg.(Edited by P.Dirschedl & R.Ostermann for the Working Groups ...)Heidelberg, Physica, 1994, ISBN 3-7908-0813-x, S. 237-258.
CY  - Heidelberg
AV  - public
ER  -