The choice of approximative models in nonlinear regression

DOI10.1080/02331888008801522zbMath0446.62064OpenAlexW2030483147MaRDI QIDQ3891606

Silvelyn Zwanzig

Publication date: 1980

Published in: Series Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888008801522

zbMATH Keywords

model testingasymptotic normality of the least squares estimatorchoice of approximative modelsinadequate nonlinear regression models

Mathematics Subject Classification ID

General nonlinear regression (62J02)

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Dimension reduction for systems with slow relaxation. In memory of Leo P. Kadanoff ⋮ A note on an estimate for the convergence rate of the LSE in inadequate nonlinear regression models ⋮ Validation of linear regression models ⋮ Second order asymptotics in nonlinear regression ⋮ Asymptotic criteria for model selection ⋮ A new method to discriminate between enzyme-kinetic models

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