Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
196018 | Electrochimica Acta | 2006 | 5 Pages |
Abstract
Durbin–Watson statistics provide a means of determining whether adjacent/consecutive residuals related to a simple first-order regression are mutually interdependent, i.e. whether the postulated number of independent variables is sufficient for the sake of modeling. This paper shows three specific applications to linear models fitting electrochemical data.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Thomas Z. Fahidy,