The Design and Analysis of Computer Experiments

The Design and Analysis of Computer Experiments
ISBN-10
1493988476
ISBN-13
9781493988471
Series
The Design and Analysis of Computer Experiments
Category
Mathematics
Pages
436
Language
English
Published
2019-01-08
Publisher
Springer
Authors
William I. Notz, Brian J. Williams, Thomas J. Santner

Description

This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

Other editions

Similar books

  • Design and Modeling for Computer Experiments
    By Kai-Tai Fang, Runze Li, Agus Sudjianto

    Mackay, D.J.C. 159 Mahadevan, S. 13, 14 Mallows, C.L. 256 Maringer, D. 105, 122 Marron, J.S. 181 Marx, B.D. 140, 219, 220 Matheron, G. 145 Matsuoka, T. 17 McKay, M.D. 13, 25, 49, 199, 201 Meernik, P. 14 Meng, Y. 93 Meyer, ...

  • The Design and Analysis of Computer Experiments
    By William I. Notz, Brian J. Williams, Thomas J. Santner

    The Design and Analysis of Computer Experiments

  • The Design and Analysis of Computer Experiments
    By William Notz, Thomas J. Santner, Brian Jonathan Williams

    This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment.

  • Handbook of Design and Analysis of Experiments
    By Derek Bingham, Angela Dean, Max Morris

    This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses.

  • Design and Analysis of Simulation Experiments
    By Jack P.C. Kleijnen

    Neural Comput 13(5):1103–1118 Tajbakhsh DS, Del Castillo E, Rosenberger JL (2014) A fully Bayesian approach to sequential ... AIAA J 46(5):1240–1252 Toropov VV, Schramm U, Sahai A, Jones R, Zeguer T (2005) Design optimization and ...

  • Design and Analysis of Experiments
    By Douglas C. Montgomery

    Design and Analysis of Experiments

  • Design and Analysis of Experiments with R
    By John Lawson

    Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice.

  • Design and Analysis of Experiments
    By Daniel Voss, Angela Dean, Danel Draguljić

    This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment.

  • Design and Analysis of Ecological Experiments
    By Jessica Gurevitch, Samuel M. Scheiner

    This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and ...

  • Optimal Design of Experiments: A Case Study Approach
    By Bradley Jones, Peter Goos

    The book is a joy to read. Everyone who practices or teaches DOE should read this book.