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On 24/10/2008, at 1:37 AM, Tom.O wrote:
Ok, I'll try to be clearer. I'll start from the beginning. I have
a set of
samples that I'm going to use to model a proxy for a common
property. This
property is that the samples are either in a "quiet" or "chaotic"
state.
Both the quiet and chaot
Ok, I'll try to be clearer. I'll start from the beginning. I have a set of
samples that I'm going to use to model a proxy for a common property. This
property is that the samples are either in a "quiet" or "chaotic" state.
Both the quiet and chaotic state is modelled to be normal distributed. So
Your terminology is confused. At least it confuses me. I think you are
mixing up ``bivariate distributions'' and ``mixture'' (of two)
distributions.
What you get by rbinding x.1 and x.2 is a sample from a mixture of
two *bivariate*
(Gaussian) distributions, one with mean c(0,0), and one wi
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