Reference work entry
The well-known Durbin–Watson, or DW, statistic, which was proposed by Durbin and Watson (1950, 1951), is used for testing the null hypothesis that the error terms of a linear regression model are serially independent.
KeywordsDurbin–Watson statistic Linear regression models Monte Carlo test Ordinary least squares (OLS) estimator Serial correlation Testing DW statistic
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- Durbin, J., and G. Watson. 1950. Testing for serial correlation in least squares regression I. Biometrika 37: 409–428.Google Scholar
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