On choosing between two nonlinear models estimated robustly. Some Monte Carlo evidence

DOI10.1080/03610918908812753zbMath0695.62149OpenAlexW1983600738MaRDI QIDQ3471492

Victor Aguirre-Torres, Jorge Dominguez, A. Ronald Gallant

Publication date: 1989

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918908812753

zbMATH Keywords

M-estimationdistribution-free Cox testnonnested nonlinear regressions

Mathematics Subject Classification ID

General nonlinear regression (62J02)

Cites Work

• Unnamed Item
• Bootstrap methods: another look at the jackknife
• The null and non-null asymptotic distribution of the Cox test for multivariate nonlinear regression. Alternatives and a new distribution-free Cox test
• The Modified Gauss-Newton Method for the Fitting of Non-Linear Regression Functions by Least Squares
• Several Tests for Model Specification in the Presence of Alternative Hypotheses

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