How do I generate a random number with normal distribution

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Jamie Derulo
Jamie Derulo 2019-3-30
评论： Star Strider 2019-3-30
I want to generate a random matrix with normal distribution between -10 and 10. I cannot use randn() because it has no boundaries. Is there any other to generate such matrix??

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Star Strider
Star Strider 2019-3-30
This is called a truncated distribution. While you are correct that it is no longer strictly a normal distribution (that extends to infinity to either side of the mean), you can nevertheless define it. The extended discussion is in the truncate (link) documentation section in Truncate a Probability Distribution (link).
For your Question, this would be:
pd = makedist('Normal')
t = truncate(pd,-10,10)
r = random(t,10000,1);
Experiment to get the result you want.
  2 个评论
Jamie Derulo
Jamie Derulo 2019-3-30
Thanks. It really worked. However I found out that the mean and standard deviation has effects to make me get close to the boundary -10 and 10. So i made a simple loop to check which best fits.
for i = 1:9
pd = makedist('Normal',0,i);
t = truncate(pd,-10,10);
r = random(t,10000,1);
subplot(3,3,i)
hist(r,100)
max(r)
min(r)
end
In here, I set my mean to 0 and my standard deviation is i. When i is >= 3, it fits perfectly for what I am looking for as my max and min are more close to my boundaries.
Thanks again for the help

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