how to generate random variables with gaussian distribution with 0 mean and 1 standard deviation.

rand is for uniform standard distribution i think...then what about gaussian distribution.what command is available

[anu]

mean+ standard deviation*randn()

this would give gaussian distribution????

Answer 1

[David Sanchez]

r = rand(n) returns an n-by-n matrix containing pseudorandom values drawn from the standard uniform distribution on the open interval (0,1). The mean determines the location of the distribution while the std. deviation determines the width of the bell curve. By all that,

mean+ standard deviation*randn()

will yield a distribution with your mean and your standard deviation.

Answer 2

[Andrei Bobrov]

See answer by Roger Stafford.

Example:

x = randn(200);
x1 = x(:) - mean(x(:));
out = reshape(x1/std(x1),size(x));

[mean(out(:)),std(out(:))]

It's for mean1 = 0 and std1 = 1 ;

For

mean1 = 2;
std1 = 3;

x = randn(200);
x1 = x(:) - mean(x(:));
s = x1/std(x1)*std1;
out = reshape(s + mean1,size(x));

[mean(out(:)),std(out(:))]