Estimating and Validating Nonlinear Regression Metamodels in Simulation

DOI10.1080/03610910601096288zbMath1147.93401OpenAlexW2079130229MaRDI QIDQ3447068

M. Isabel Reis dos Santos, Acácio M. O. Porta Nova

Publication date: 28 June 2007

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

Full work available at URL: https://doi.org/10.1080/03610910601096288

zbMATH Keywords

parameter estimationsimulationcross-validationnonlinear least squares

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Stochastic systems in control theory (general) (93E03)

Cites Work

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• Generalization of simulation results. Practicality of statistical methods
• The design and analysis of computer experiments.
• Cross-validation using the t statistic
• Statistical Fitting and validation of nonlinear simulation metamodels: a case study
• State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments
• Regression Metamodels for Simulation with Common Random Numbers: Comparison of Validation Tests and Confidence Intervals
• Application-driven sequential designs for simulation experiments: Kriging metamodelling
• Estimation of Multiresponse Simulation Metamodels Using Control Variates

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