How to generate Zero mean and unit variance
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I'm not sure how to generate 1024 samples of pseudo random numbers with zero mean and unit variance using rand and to verify the results with mean, std, and hist.
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Roger Stafford
2014 年 9 月 18 日
編集済み: Roger Stafford
2014 年 9 月 18 日
If you want a uniform distribution do this:
n = 1024;
x = sqrt(3)*(2*rand(n,1)-1);
The random variable x will have a statistical mean of 0 and variance of 1. Of course any given n-element sample will deviate from these. These are only the statistically expected values.
2 件のコメント
Marius Hernes Brateng
2020 年 10 月 20 日
this comes from the definition of variance. Solve this equation for a, get a = sqrt(3).
その他の回答 (2 件)
the cyclist
2014 年 9 月 18 日
編集済み: the cyclist
2014 年 9 月 18 日
randn(1024,1)
will generate 1,024 normally distributed values from a population with zero mean and unit variance.
3 件のコメント
soumya dwibedy
2021 年 2 月 16 日
how to generate 1000 normally distributed values with (2 7 )mean and unit variance
the cyclist
2021 年 2 月 19 日
It's usually better to post a new question, than a comment on a 6-year-old one (even though this is related). People won't typically see a comment buried in an old post. It was just lucky that I did.
I don't understand what you mean by "(2 7)mean". Did you you mean just "27"?
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