Abstract
This article presents estimates of the power of four tests for the independence of the disturbances from linear regression models with two sets of alternative hypotheses—second-order autoregressive processes and first-order moving average processes. The results indicate that for a number of specifications of the second-order autoregressive error structure the Durbin-Watson and Durbin alternative exact tests are more powerful than a test designed for this class of alternatives. With models including first-order moving average errors the Durbin-Watson and Durbin alternative exact test are consistently more powerful than the other tests studied for all model specifications and sample sizes.
Original language | English (US) |
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Pages (from-to) | 879-883 |
Number of pages | 5 |
Journal | Journal of the American Statistical Association |
Volume | 71 |
Issue number | 356 |
DOIs | |
State | Published - 1976 |
Externally published | Yes |
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty