Re: Constrained non linear regression using ML

[Corrado]

Sorry, I am really lost here ....

Jaroslav Hajek wrote:
> > Yes and no. It's not a simple random variable, it's dependent on an
> > n-dimensional vector p: Y = Y(p). In statistics this is usually called
> > a "random field".
> >     
What is p, and what is n?
> > Yes, but again it is pdf(Y,p), dependent on p. If nothing else, the
> > mean of the distribution is changing with k.
> >     

What is k?

> If your y_i correspond to different vectors p_i, they're actually
> samples of different random variables, and building a histogram out of
> them is not really meaningful. You first have to remove the trend to
> get somewhere.
>   

I do not know, because I have not understood what p, k, and n are .... :D

--
Corrado Topi
PhD Researcher
Global Climate Change and Biodiversity
Area 18,Department of Biology
University of York, York, YO10 5YW, UK
Phone: + 44 (0) 1904 328645, E-mail: address@hidden