Non-parametric regression approach for model checking on the two-phase regression problem |
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| Authors: | A S Azari Chih-Ling Tsai |
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| Institution: |
a Division of Statistics, University of California, Davis
b Graduate School of Management, University of California, Davis |
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| Abstract: | A non-parametric approach is derived for assessing the goodness of fit for the two-phase regression problem. It is shown that the validity of the constant error variance assumption and the constraint of the continuity of change in two-phase regression can be examined. This method is also used to test nested two-phase regression models. Three numerical examples are presented. |
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