The book "The Design and Analysis of Computer Experiments" by Thomas J. Santner, Brian J. Williams, and William I. Notz is part of the Springer Series in Statistics. It aims to make the methodology for designing, modeling, and analyzing computer experiments accessible to a broader audience, particularly those with a Masters-level training in Statistics. The authors provide an introduction to complex concepts such as Gaussian process models and include software for fitting these models, with instructions and examples provided in Appendix C. The book covers various topics, including physical experiments and computer experiments, modeling output from computer experiments, predicting output, additional topics in prediction methodology, space-filling designs, criterion-based experimental designs, sensitivity analysis, and model validation. The content is supported by detailed mathematical facts, references, and software documentation.The book "The Design and Analysis of Computer Experiments" by Thomas J. Santner, Brian J. Williams, and William I. Notz is part of the Springer Series in Statistics. It aims to make the methodology for designing, modeling, and analyzing computer experiments accessible to a broader audience, particularly those with a Masters-level training in Statistics. The authors provide an introduction to complex concepts such as Gaussian process models and include software for fitting these models, with instructions and examples provided in Appendix C. The book covers various topics, including physical experiments and computer experiments, modeling output from computer experiments, predicting output, additional topics in prediction methodology, space-filling designs, criterion-based experimental designs, sensitivity analysis, and model validation. The content is supported by detailed mathematical facts, references, and software documentation.