Spatial autocorrelation, which comes either from the physical forcing of environmental variables or from community processes, presents a problem for statistical testing because autocorrelated data ...

This autocorrelation of the residuals may not be a very good estimate of the autocorrelation of the true errors, especially if there are few observations and the independent variables have certain ...

This paper considers (i) the robustness of the @t and Durbin-Watson bounds tests for first-order autocorrelation when disturbances in the linear regression model are heteroskedastic and (ii) the ...