A New Test for Autocorrelated Errors in the Linear Regression Model
线性回归模型中自相关误差的一种新检验
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.