Testing for lack of fit in nonlinear regression

DOI10.1214/aos/1176350831zbMath0646.62057OpenAlexW1995929788MaRDI QIDQ1104001

James W. Neill

Publication date: 1988

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176350831

zbMATH Keywords

model adequacynonreplicationAsymptotically valid critical pointscentral F-distributionnoncentral F-distributionregression lack-of- fit testtesting the correctness of a nonlinear response functionunspecified general alternatives

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) General nonlinear regression (62J02) Asymptotic properties of parametric tests (62F05)

Related Items (4)

Robust verification of stochastic simulation codes ⋮ Statistical monitoring of heteroscedastic dose-response profiles from high-throughput screening ⋮ Testing regression function adequacy in nonlinear multiresponse models ⋮ Applied regression analysis bibliography update 1988-89

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