writing normally distributed error code
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Hello all,
I have an equation
Y = aX + E.....
E is error term that is N ~ ( 0 , [ 25 0 ; 0 25] ) , how I can write a code for E in this case know that it will be 2 x1 matrix size. that is normally distibuted with 0 mean and 25 standard deviation
Thank you in advance.
5 Comments
Lina Alhelo
on 2 Jun 2019
Bjorn Gustavsson
on 2 Jun 2019
Yes, that is what N(m,C) means, that you have a random numbers with expected values m and covariance C. Your case is what one typically do to model normal-distributed "random noise in measurements".
Lina Alhelo
on 2 Jun 2019
Edited: Lina Alhelo
on 3 Jun 2019
Bjorn Gustavsson
on 3 Jun 2019
I typically use something like this for scalar white noise with standard deviation proportional to the sqrt(intensity):
I = I_ideal + I_ideal.^.5*randn(size(I_ideal));
Maybe the documentation to normrnd gives you more information?
HTH
Lina Alhelo
on 3 Jun 2019
Edited: Lina Alhelo
on 3 Jun 2019
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