Generating a normal distribution to a given distribution
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Hi, I am having trouble with this question, can someone help me ASAP.
Generate N = 1000 samples from a standard normal distribution (zero mean, identity covariance) and transform these samples to be distributed as:
X= [x1,x2]T ~ N(μ, Σ), μ=[1,1]T, Σ= 2 -1
-1 1
This asks to plot on matlab. I am new to matlab
3 个评论
John D'Errico
2016-9-10
If you choose to use arbitrary notation of your own choosing, expect people to have a hard time understanding what you are asking.
For example, what do you mean by this? Is the T supposed to indicate transpose?
[x1,x2]T
Why not simply state that you want to generate vectors of size 2 by 1, thus column vectors?
Anyway, is there a reason not to simply use mvnrnd?
fafz1203
2016-9-10
fafz1203
2016-9-10
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