Duncan Murdoch <[EMAIL PROTECTED]> writes:

> Yes, for my second example the 2-d distribution function is
> continuous, because there are no atoms:
> 
> F(x,y) = P(X <= x, Y <= y) = Phi(min(x,y))

Right, sorry. I had it mixed up with a mental image of the conditional
distributions of Y given X or vice versa, which of course jump
discontinuously from 0 to 1.

-- 
   O__  ---- Peter Dalgaard             Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics     2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark      Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED])             FAX: (+45) 35327907

______________________________________________
[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailman/listinfo/r-devel

Reply via email to