From Matthias.Kohl at uni-bayreuth.de  Tue Feb  3 10:45:52 2004
From: Matthias.Kohl at uni-bayreuth.de (Matthias Kohl)
Date: Tue Feb  3 09:49:58 2004
Subject: [Rd] request for comments --- package "distr" --- S4 Classes
	for	Distributions
In-Reply-To: <x2ad413yue.fsf@biostat.ku.dk>
References: <D7A3CFD7825BD6119B880002A58F06C20680ADF6@groexmb02.pfizer.com>
	<x2ad413yue.fsf@biostat.ku.dk>
Message-ID: <401F6DD0.2080602@uni-bayreuth.de>

Peter Dalgaard schrieb:

>"Warnes, Gregory R" <gregory_r_warnes@groton.pfizer.com> writes:
>
>  
>
>>>as subclasses of  either of the two the subclasses 
>>>"AbscontDistribution" or
>>>" DiscreteDistribution".
>>>      
>>>
>>It is not at all clear to me what an 'AbscontDistribution' is.  Perhaps you
>>are referring to a continuous distribution?
>>    
>>
>
>Absolutely continuous. This is slightly more restrictive than just
>having a continuous distribution function, effectively meaning that
>the density can be defined (with respect to Lebesgue measure on some
>interval, usually).
>
>Counterexamples are pathological, the sort of thing you challenge 2nd
>year math/stat students to think up, but I can't say that I can
>remember what they'd look like.
>
>  
>
I think the most common example is the Cantor distribution.
See for example:

http://www.sciencedaily.com/encyclopedia/Cantor_function


[Rd] request for comments --- package "distr" --- S4 Classes for Distributions
Matthias Kohl