See
http;//www.stat.ucla.edu/~deleeuw/struncate.pdf
for an (incomplete) teaching handout on this.
--
===
Jan de Leeuw; Professor and Chair, UCLA Department of Statistics;
US mail: 8142 Math Sciences Bldg, Box 951554, Los Angeles, CA 90095-1554
phone (310)-825-9550; fax (310)-206-5658; email:
I appreciate Don B's comments; it was a rookie mistake on my part. From the
correlations and plots I generated to help me picture the situation, I fell into the
trap of thinking about a
"standard" bivariate normal distribution (if there is such an animal), much as I
general
On 28 Mar 2000 07:15:35 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
here is a contest question: best answer wins something ... what? i have no idea
what would be a good VERBAL description of the bivariate normal
distribution ... as the population rho between X and Y goes from 0 to 1
On Tue, 28 Mar 2000, dennis roberts wrote:
here is a contest question: best answer wins something ... what?
i have no idea
what would be a good VERBAL description of the bivariate normal
distribution ...
I presume you mean the bivariate normal density function
dennis roberts wrote:
here is a contest question: best answer wins something ... what? i have no idea
what would be a good VERBAL description of the bivariate normal
distribution ... as the population rho between X and Y goes from 0 to 1?
(and, in this description, indicate in particular
Not sure exactly what your after here, but the software program qs-STAT by
Q-DAS has a useful 3D bi-variate ND plot that is developed from two data sets.
I'll send you a image if you like.
===
This list is open to
to be
bivariate normal distributions.
Please answer me .
Thanks in advances.
With my best regards,
D.W. Ryu
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.
The domain of random variable X and Y is -1 X, Y 1, which is points
in xy plane. The points is located clustring near origin (0,0), so I
try to approximate the its density to bivariate normal distribution.
Ah. That explains why (1 - sigma_max*sigma_min) would not be imaginary.
It is still unclear
