🚀 go-pugleaf

In article <1992Apr15.081401.1@cc.newcastle.edu.au> eemn@cc.newcastle.edu.au
(Brett Ninness) writes:
[...]
>The only twist is that my sequence {X_k} is double indexed: {X_{k,N}}.
>That is, the variances of the X_j in
>
>X_1,X_2, ....... X_k
>
>are different to the variances of the X_j in 
>
>X_1,X_2,.........X_k,X_{k+1}.
>
>To put it another way, the variance of a particular X_k depends on how
>may terms I have in the sequence, hence the double indexing.  All the terms
>are zero mean and independent no matter how long the sequence.
>
I'm intrigued.  How can you get a sequence of random variables whose values are
independent, but whose variances depend on the number of values in the
sequence?

regardless,
&rue

Andrew.Robinson@anu.edu.au   <= forestry statistician 
(if it moves, count it; if it doesn't move then CHOP IT DOWN and count it.)
My employers don't care what I say, in fact I don't even think they know I
exist.