Bias in nonlinear regression

R. D. Cook; C. l. Tsai; B. C. Wei

doi:10.1093/biomet/73.3.615

Bias in nonlinear regression

R. D. Cook, C. l. Tsai, B. C. Wei

Statistics (Twin Cities)

Research output: Contribution to journal › Article › peer-review

65 Scopus citations

Abstract

We investigate the biases of the residuals and maximum likelihood parameter estimates from normal nonlinear regression models. Emphasis is placed on a class of partially nonlinear models, on the role of individual cases in determining bias, on how bias affects standard diagnostic methods, and on the relationship between bias and curvature.

Original language	English (US)
Pages (from-to)	615-623
Number of pages	9
Journal	Biometrika
Volume	73
Issue number	3
DOIs	https://doi.org/10.1093/biomet/73.3.615
State	Published - Dec 1 1986

Keywords

Diagnostic
Influence
Intrinsic curvature
Residual
Tarnsformation

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KW - Tarnsformation

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Bias in nonlinear regression

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Keywords

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