Combining regression diagnostics with simulation metamodels

DOI10.1016/0377-2217(94)90146-5zbMath0803.62060OpenAlexW2072398934MaRDI QIDQ1328597

Ernest C. Houck, Renato P. Panis, Raymond H. Myers

Publication date: 5 January 1995

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(94)90146-5

zbMATH Keywords

ordinary least squaresweighted least squareslack-of-fit cross-validation testR-Student statisticregression metamodels

Mathematics Subject Classification ID

Diagnostics, and linear inference and regression (62J20) Probabilistic methods, stochastic differential equations (65C99)

Related Items

Using subsystem linear regression metamodels in stochastic simulation

Uses Software

• MINITAB

Cites Work

• Cross-validation using the t statistic
• Small-sample behavior of weighted least squares in experimental design applications
• Regression Analysis for Simulation Practitioners
• The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
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