Message-ID: <XFMail.050404090329.Ted.Harding@nessie.mcc.ac.uk>
Date: 2005-04-04T08:03:29Z
From: (Ted Harding)
Subject: Generating a binomial random variable correlated with a
In-Reply-To: <200504032242.j33MfjuX006339@hypatia.math.ethz.ch>
On 03-Apr-05 Ashraf Chaudhary wrote:
> Hi All:
> I would like to generate a binomial random variable that
> correlates with a normal random variables with a specified
> correlation. Off course, the correlation coefficient would
> not be same at each run because of randomness.
> I greatly appreciate your input.
> Ashraf
It's not at all clear what you mean by this. For example,
are you seeking:
A) X (continuous) and R (discrete, distributed on (0,n))
are such that the marginal distribution of X is normal,
the marginal distribution of R is binomial, and the
correlation coefficient between X and R is specified?
B) Given X, R on (0,n) has a binomial distribution with
probability parameter p which depends on X?
C) For each of n values of X, R is binary (0,1) with
P[R=1] depending on X, such that sum(R from 1 to n)
has a binomial distribution, and the correlation
between X and R is specified?
And so on.
Also, it is not obvious what interpretation to put on
the correlation coefficient between a discrete variable
and a continuous variable.
How large is the "n" parameter in the binomial distribution
intended to be?
It would help if you described what you are really looking
for in much more explicit detail!
Bestg wishes,
Ted.
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Date: 04-Apr-05 Time: 09:03:29
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