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- W2487874151 abstract "Two popular regression methods for the multiplicative-error model are the Minimum-Unbiased-Percent Error and Minimum-Percentage Error under the Zero-Percentage Bias methods. The Minimum-Unbiased-Percent Error method, an Iteratively Reweighted Least Squares regression, does not use any constraints, while the Minimum-Percentage Error under the Zero-Percentage Bias method requires a constraint as part of the curve-fitting process. However, Minimum-Percentage Error under the Zero-Percentage Bias users do not adjust the degrees of freedom to account for constraints included in the regression process. As a result, fit statistics for the Minimum-Percentage Error under the Zero-Percentage bias equations, e.g., the standard percent error and generalized R2, can be incorrect and misleading. This results in incompatible fit statistics between Minimum-Percentage Error under the Zero-Percentage Bias and Minimum-Unbiased-Percent Error equations. This article details why degrees of freedom should be adjusted and recomme..." @default.
- W2487874151 created "2016-08-23" @default.
- W2487874151 creator A5014754380 @default.
- W2487874151 date "2016-05-03" @default.
- W2487874151 modified "2023-09-24" @default.
- W2487874151 title "Generalized Degrees of Freedom" @default.
- W2487874151 cites W2126855148 @default.
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- W2487874151 doi "https://doi.org/10.1080/1941658x.2016.1191388" @default.
- W2487874151 hasPublicationYear "2016" @default.
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