Abstract
Summary A test for autocorrelated errors in the linear model is introduced and shown to have, in general, greater power than the Durbin and Watson test for high values of autocorrelation.
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Schedule a callMore From: Journal of the Royal Statistical Society Series B: Statistical Methodology
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