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On a new test for autocorrelation in least squares regression

On a new test for autocorrelation in least squares regression

The Durbin-Watson test on autocorrelation is based on the least squares residual vector. It is well known that the distribution of this vector depends upon the regression matrix which implies that tabulation of the test statistic's significance points is senseless. The best linear unbiased scalar test circumvents this difficulty and …