Confidence curves in nonlinear regression

R. Dennis Cook, Sanford Weisberg

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Standard Wald confidence regions for parameters in a normal nonlinear regression model often fail to capture accurately the uncertainty of estimation as reflected by the corresponding profile log-likelihood. We present a graphical method, along with a stable computational algorithm, for inference on scalar parameters in a nonlinear regression model. © 1990 Taylor & Francis Group, LLC.

Original languageEnglish (US)
Pages (from-to)544-551
Number of pages8
JournalJournal of the American Statistical Association
Volume85
Issue number410
DOIs
StatePublished - 1990

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