The sample covariance of N observations of K

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http://en.wikipedia.org/wiki/Covariance

I read from the above link that-

The sample covariance of N observations of K variables is the K-by-K matrix.

I am wondering-

Should "K-by-K" be "N-by-K" or not?
 
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DUET said:
http://en.wikipedia.org/wiki/Covariance

I read from the above link that-

The sample covariance of N observations of K variables is the K-by-K matrix.

I am wondering-

Should "K-by-K" be "N-by-K" or not?
No. K-by-K is correct. Moreover it is symmetric. Each term in the matrix is the estimated covariance between two of the variables.
 
Does it mean covariance matrix must be in square size, 3x3, 4x4, 5x5 etc?

It can never be 3x4, 4x7, 5x8 etc.
Correct?
 
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Yes it has to be square. Remember that you need all possible values of Cov(X,Y) where X and Y are random variables. If you have N different variables then you have N*N or N^2 possibilities and since Cov(X,Y) = Cov(Y,X) you will have a lot of repeated values.
 
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chiro said:
you will have a lot of repeated values.
I think every value will repeat twice. Am I correct?
 
In general yes unless you are looking at the same random variable since Cov(X,X) = Var(X) on the diagonal elements.
 
Yes! I am just taking off diagonal elements into account.
 
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