Bias in nonlinear regression

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

Research output: Contribution to journalArticlepeer-review

65 Scopus citations


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 languageEnglish (US)
Pages (from-to)615-623
Number of pages9
Issue number3
StatePublished - Dec 1 1986


  • Diagnostic
  • Influence
  • Intrinsic curvature
  • Residual
  • Tarnsformation

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