The Durbin-Watson Test for Serial Correlation when there is No Intercept in the Regression

Abstract

and where tl, 2, ... , n-k is a set of independent standard normal variates. The significance points of dM, dL, and du may be evaluated by the methods of Imhof [3] and Pan [8]. Savin and White [9] have noted that Koerts and Abrahamse's [5, pp. 159-160] FORTRAN implementation of Imhof's procedure fails to converge when the significance point is near A1. This defect is easily remedied by replacing Imhof's lower bound for the inverse of the truncation error by