What is the code?
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I want to generate random numbers. But i want it like this. for example i want to generate random numbers for The gamma distribution coefficient of skewness 2.
How can i do this?
采纳的回答
doc gamrnd
The skewness is a function of one of the two parameters of the distribution, that you can set as you see fit. You just need to set it so the skewness is two (look at the wikipedia article on the gamma distribution).
5 个评论
eren eren
2012-12-6
José-Luis
2012-12-6
There is already a function that does what you ask. Look at the documentation for gamrnd
I was suggesting that you type doc gamrnd in the prompt to browse the documentation. Read it and you'll hopefully understand.
eren eren
2012-12-6
From one of your comments.
When you do this:
i write this on matlab skewness = 2; scale = 1; shape = 2./sqrt(skewness); x=gamrnd(shape,scale) s=skewness(x)
Skewness becomes a variable, and overshadows the built-in skewness function in Matlab. It is good practice not to do that, as problems as the one got might pop-up (you think you are calling a function but you are in fact trying to access a variable).
After clearing your work space to make sure there is no variable called skweness in it, do this instead:
ske = 2;
sca = 1;
shap = 1/sqrt(2);
x = gamrnd(shap,sca,[1000 1]);
your_skew = skewness(x);
Please accept an answer if it helped you.
eren eren
2012-12-13
更多回答（1 个）
Jonathan Sullivan
2012-12-6
skewness is simple 2 divided by the square root of the shape parameter for gamma distributions. Here's an example.
skewness = 2;
scale = 1;
shape = 2./sqrt(skewness);
gamrnd(shape,scale)
9 个评论
eren eren
2012-12-7
eren eren
2012-12-7
José-Luis
2012-12-8
It is not working how?
eren eren
2012-12-8
Since it's a random sample, it might not be exactly equal to 2. Also, there might be some bias. "The code not working" is not a very useful statement for those that are trying to help you. An example showing what you get/what you expect would be more helpful.
eren eren
2012-12-12
eren eren
2012-12-13
José-Luis
2012-12-13
Please see the comment to my original answer.
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