[R] median and joint distribution
Hotz, T.
th50 at leicester.ac.uk
Thu Jul 24 14:42:42 CEST 2003
Dear Salvatore,
Assuming that you mean "convolution" when you write
"additive linkage", the answer is that there is no general
answer. It will depend heavily on the joint distribution
of the two random variables.
Just to give a simple example, let X~f, Y~g, and
P(X=0.4)=P(Y=0.4)=1. Then, X and Y are independent, their
medians are <0.5, but there sum has a median >0.5.
Its different for "multiplicative", since in general from
X~f, Y~f, P(X>=0.5)<=0.5, and P(Y>=0.5)<=0.5 it follows
that P(XY>=0.5) <= P(X>=p or Y>=q) if p*q=0.5. Thus, if there
are numbers p and q with that property, such that
P(X>=p) + P(Y>=q) <= 0.5, then the median of XY will be <=0.5.
You might argue that there is a relationship between additive
and multiplicative scale through a log-transformation (note that
the median is stable under monotone transformations). However,
I assume there is no obvious formulation of the above statement
on the additive scale.
There is no way of carrying convolutions out in R directly; you'd
need to do numerical integration to do that, e.g. using
integrate().
HTH
Thomas
---
Thomas Hotz
Research Associate in Medical Statistics
University of Leicester
United Kingdom
Department of Epidemiology and Public Health
22-28 Princess Road West
Leicester
LE1 6TP
Tel +44 116 252-5410
Fax +44 116 252-5423
Division of Medicine for the Elderly
Department of Medicine
The Glenfield Hospital
Leicester
LE3 9QP
Tel +44 116 256-3643
Fax +44 116 232-2976
> -----Original Message-----
> From: Salvatore Barbaro [mailto:sbarbar at gwdg.de]
> Sent: 24 July 2003 12:56
> To: r-help at stat.math.ethz.ch
> Subject: [R] median and joint distribution
>
>
> Dear R-"helpers"!
>
> May I kindly ask the pure statistics-experts to help me for a
> purpose which first part is not directly concerned with R.
> Consider two distribution functions, say f and g. For both, the
> median is smaller than a half. Now, the multiplicative or additive
> linkage of both distribution leads to a new distribution function,
> say h, whereas the median of h is greater than a half. Does
> anybody know under which circumstances such a construction of h is
> possible (my intuition is that it depends on the correlation of f
> and g) or can anybody advice a helpful literature. Furthermore,
> does anybody know whether or how such a construction can be done
> with R. Thanks in advance.
>
> s.
>
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