MATLAB: Random numbers with mean-correction

conditionmean-correctionrandnrandom number

Hi,

I would like to generate random numbers with follow a normal distribution (randn) but mean-corrected with the following condition: sum(randon numbers)=K.

Where K is a constant.

Can anyone help me?

Thanks a lot.

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http://www.mathworks.com/matlabcentral/fileexchange/9700

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MATLAB: Randn

You cannot do that. randn() is the random number generator for the normal distribution. The normal distribution must have infinite tails on both sides, so it is not possible to confine it to any particular range (not and keep it normally distributed.)

You could use a beta distribution to give specific limits, but not a normal distribution.

MATLAB: How I write independent random numbers from a normal distribution, for example between (0,1)

There is specific matlab function https://it.mathworks.com/help/matlab/ref/randn.html

For example, create 4x5 matrix of normal distributed random numbers:

A=randn(4,5)

Notice that a Gaussian distributed random variable takes values between (-inf,inf), there is no Gaussian variable in (0,1).

randn assumes the distribution is Gaussian with mean=0 and variance=1. If you want to customize it, you can do as follows:

MU=2; %mean
SIG=5; %variance
A= SIG*randn(4,5)+MU;

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Related Solutions

MATLAB: Randn

MATLAB: How I write independent random numbers from a normal distribution, for example between (0,1)

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