Message-ID: <Pine.LNX.4.44.0306171600310.10980-100000@gannet.stats>
Date: 2003-06-17T15:23:07Z
From: Brian Ripley
Subject: kernel smoothing for ordinal data
In-Reply-To: <x2u1ao3frl.fsf@biostat.ku.dk>
They do exist: the term has a somewhat different meaning for categorical
data.
Titerington, D. M. (1980) Technometrics 22, 259-268
might be a good start.
On 17 Jun 2003, Peter Dalgaard BSA wrote:
> Meike Gebel <meike.gebel at gmx.de> writes:
>
> > Hi there,
> > during my work I have to use kernel smoothing methods for multivariate
> > ordinal data.
> > The R-package "KernSmooth" unfortunately includes only a version for
> > continous scaled variables.
> > Does anybody know whether there exists also a version for ordinal data?
> > Thanks for help!
>
> Er, do you have a reference for what such a beast should be doing?
> Kernel smoothing methods generally rely quite heavily on having a
> continuous distribution (for density estimates) or having a continuous
> x distribution and something on the y axis that allows taking weighted
> avereages (for nonparametric regression type problems).
>
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595