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References
3. Design and Analysis of Monte Carlo Experiments
Jack P.C. Kleijnen
Subsections
3.1 Introduction
3.2 Simulation Techniques in Computational Statistics
3.3 Black-Box Metamodels of Simulation Models
3.4 Designs for Linear Regression Models
3.4.1 Simple Regression Models for Simulations with a Single Factor
3.4.2 Simple Regression Models for Simulation Models with Multiple Factors
3.4.3 Fractional Factorial Designs and Other Incomplete Designs
3.4.4 Designs for Simulations with Too Many Factors
3.5 Kriging
3.5.1 Kriging Basics
3.5.2 Designs for Kriging
3.6 Conclusions
