eprintid: 21466
rev_number: 13
eprint_status: archive
userid: 2326
dir: disk0/00/02/14/66
datestamp: 2016-07-08 08:53:21
lastmod: 2016-07-25 10:24:36
status_changed: 2016-07-08 08:53:21
type: workingPaper
metadata_visibility: show
creators_name: Sawitzki, Günther
title: Diagnostic Plots for One-Dimensional Data
subjects: 310
subjects: 510
divisions: 110400
note: 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.
abstract: 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.
date: 1999-11
id_scheme: DOI
id_number: 10.11588/heidok.00021466
schriftenreihe_cluster_id: sr-10b
schriftenreihe_order: 08
ppn_swb: 1657878643
own_urn: urn:nbn:de:bsz:16-heidok-214669
language: eng
bibsort: SAWITZKIGUDIAGNOSTIC199911
full_text_status: public
place_of_pub: Heidelberg
pages: 14
citation:   Sawitzki, Günther  (1999) Diagnostic Plots for One-Dimensional Data.  [Working paper]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/21466/1/report.08.pdf