LEADER 04596nam 22006015 450 001 9910309663403321 005 20250325151227.0 010 $a9781493988471 010 $a1493988476 024 7 $a10.1007/978-1-4939-8847-1 035 $a(CKB)4100000007389694 035 $a(MiAaPQ)EBC5630986 035 $a(DE-He213)978-1-4939-8847-1 035 $a(PPN)233796851 035 $a(EXLCZ)994100000007389694 100 $a20190108d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Design and Analysis of Computer Experiments /$fby Thomas J. Santner, Brian J. Williams, William I. Notz 205 $a2nd ed. 2018. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2018. 215 $a1 online resource (446 pages) 225 1 $aSpringer Series in Statistics,$x2197-568X 311 08$a9781493988457 311 08$a149398845X 327 $aPhysical Experiments and Computer Experiments -- Stochastic Process Models for Describing Simulator Output -- Empirical Best Linear Unbiased Prediction for Simulator Output -- Bayesian Inference for Simulator Output -- Space-Filling Designs for Computer Experiments -- Some Criterion-based Experimental Designs -- Sensitivity Analysis and Variable Screening -- Calibration -- Appendix A : List of Notation -- Appendix B: Mathematical Facts -- Appendix C: An Overview of Selected Optimization Algorithms -- Appendix D: An Introduction to Markov Chain Monte Carlo Algorithms -- Appendix E: A Primer on Constructing Quasi-Monte Carlo Sequences. 330 $aThis book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: ? An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples ? A new comparison of plug-in prediction methodologies for real-valued simulator output ? An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions ? A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization ? A new chapter describing graphical and numerical sensitivity analysis tools ? Substantial new material on calibration-based prediction and inference for calibration parameters ? Lists of software that can be used to fit models discussed in the book to aid practitioners. 410 0$aSpringer Series in Statistics,$x2197-568X 606 $aStatistics 606 $aStatistics 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aStatistical Theory and Methods 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aMathematical and Computational Engineering Applications 615 0$aStatistics. 615 0$aStatistics. 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aMathematical and Computational Engineering Applications. 676 $a001.434 700 $aSantner$b Thomas J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0103055 702 $aWilliams$b Brian J$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aNotz$b William I$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910309663403321 996 $aThe Design and Analysis of Computer Experiments$92093324 997 $aUNINA