Asymptotic results for parametric estimation in inadequate two phases regression models

DOI10.1080/02331889108802316zbMath0738.62024OpenAlexW2026171564MaRDI QIDQ3985821

S. Benzekri, F. Brodeau

Publication date: 27 June 1992

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889108802316

zbMATH Keywords

consistencyasymptotic normalityleast squares estimatorinadequate two phases regression models

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) General nonlinear regression (62J02)

Related Items (1)

Test for the choice of approximative models in nonlinear regression when the variance is unknown

Cites Work

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• Consistent estimators in nonlinear regression for a noncompact parameter space
• A new approach to least-squares estimation, with applications
• A large deviation result for parameter estimators and its application to nonlinear regression analysis
• Asymptotic theory of nonlinear least squares estimation
• Improved Erdoes-Renyi and strong approximation laws for increments of partial sums
• Statistische Methoden der Modellbildung, II
• Note on the strong consistency of the least squares estimator in nonlinear regression
• Asymptotic Properties of Non-Linear Least Squares Estimators

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