Global derivative based sensitivity method for parameter estimation

DOI10.1016/J.JFRANKLIN.2010.05.014zbMath1316.62034OpenAlexW2091593012MaRDI QIDQ647986

Juan-Miguel Gracia

Publication date: 22 November 2011

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2010.05.014

Mathematics Subject Classification ID

Point estimation (62F10) General nonlinear regression (62J02)

Cites Work

• A profile-based approach to parametric sensitivity in multiresponse regression models
• Parametric sensitivity: a case study comparison
• Extending a global sensitivity analysis technique to models with correlated parameters
• Parameter transformations for improved approximate confidence regions in nonlinear least squares
• Nonlinear sensitivity analysis of multiparameter model systems
• Approximate Confidence Limits for a Parameter Function in Nonlinear Regression
• A Generalized Gauss-Newton Procedure for Multiresponse Parameter Estimation
• The Bayesian estimation of common parameters from several responses
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