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Author Message
xlines
Posted: Sun Mar 11, 2007 10:25 am
Guest
Hello!

I got statistical problem and any help is needed and appreciated =) Let say
I got a probability distribution in 3D vector space P(r), for simplicity let
say its constant on a ball of radius R. With that distribution, I can
calculate average values and variance of polar parameters of a vector. Now,
let say I take a sample of a n vectors ( where n is large, n ~ 10^5 ).
Problem is to calculate average distance between two vectors depending on
number n. My idea was to make approximation of :

Var (r) =~ n * (dr)^2

Where dr is average difference of parameter r of a two typical vectors among
n of them. Then, I would identify average distance between two vectors (
among n of them ) with distance of vectors ( <r>, <theta>, <phi> ) and
(<r>+dr, <theta>+dtheta, <phi>+dphi ). I am aware that this is incorrect
procedure, but is approximation valid in that regime ( n ~ 10^5 ). If not,
can you please point me how to calculate this correctly ? Thank you!
 
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