After nearly 11 years, I’ve finally decided to pull the plug on Usenet archive: Groupsrv.com.
The page you have requested no longer exists!
But don’t panic just yet!
I’ve coded this page in a way, that it’s monitoring each redirect & capturing data about the thread you’ve requested. Page you’ve requested is still available in Google’s Usenet Archive. You should be able to access it using following URL:
Note: I can’t guarantee that all Groupsrv.com pages can be found in Google Groups, but over 90% of the content should be there. If not, try the resources below!
Cross-correlation! – first normalized. This is typically done at every step by subtracting the mean and dividing by the standard deviation. That is, the cross-correlation of
Autocorrelation! – Autocorrelation, also known as serial correlation, is the cross-correlation of a signal with itself. Informally, it is the similarity between observations
Weighted arithmetic mean! – weights are normalized such that they sum up to , i.e. . For such normalized weights the weighted mean is simply . Note that one can always normalize the weights
Least mean squares filter! – least mean squares filter is related to the Wiener filter, but minimizing the error criterion of the former does not rely on cross-correlations or auto-correlations
Probability distribution! – that involve comparing variances or involving R-squared (the squared correlation coefficient) Main article: Conjugate prior Beta distribution, for a