LEADER 06397nam 22008653u 450 001 9910139627203321 005 20170809172635.0 010 $a1-283-17783-8 010 $a9786613177834 010 $a1-119-97401-1 010 $a1-119-97400-3 035 $a(CKB)2550000000041193 035 $a(EBL)697607 035 $a(OCoLC)747411905 035 $a(SSID)ssj0000539756 035 $a(PQKBManifestationID)11327619 035 $a(PQKBTitleCode)TC0000539756 035 $a(PQKBWorkID)10580065 035 $a(PQKB)10298968 035 $a(PPN)262117177 035 $a(EXLCZ)992550000000041193 100 $a20130418d2011|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOptimal Design of Experiments$b[electronic resource] $eA Case Study Approach 210 $aChicester $cWiley$d2011 215 $a1 online resource (305 p.) 300 $aDescription based upon print version of record. 311 $a0-470-74461-8 327 $aOptimal Design of Experiments : A Case Study Approach; Contents; Preface; Acknowledgments; 1 A simple comparative experiment; 1.1 Key concepts; 1.2 The setup of a comparative experiment; 1.3 Summary; 2 An optimal screening experiment; 2.1 Key concepts; 2.2 Case: an extraction experiment; 2.2.1 Problem and design; 2.2.2 Data analysis; 2.3 Peek into the black box; 2.3.1 Main-effects models; 2.3.2 Models with two-factor interaction effects; 2.3.3 Factor scaling; 2.3.4 Ordinary least squares estimation; 2.3.5 Significance tests and statistical power calculations; 2.3.6 Variance inflation 327 $a2.3.7 Aliasing2.3.8 Optimal design; 2.3.9 Generating optimal experimental designs; 2.3.10 The extraction experiment revisited; 2.3.11 Principles of successful screening: sparsity, hierarchy, and heredity; 2.4 Background reading; 2.4.1 Screening; 2.4.2 Algorithms for finding optimal designs; 2.5 Summary; 3 Adding runs to a screening experiment; 3.1 Key concepts; 3.2 Case: an augmented extraction experiment; 3.2.1 Problem and design; 3.2.2 Data analysis; 3.3 Peek into the black box; 3.3.1 Optimal selection of a follow-up design; 3.3.2 Design construction algorithm; 3.3.3 Foldover designs 327 $a3.4 Background reading3.5 Summary; 4 A response surface design with a categorical factor; 4.1 Key concepts; 4.2 Case: a robust and optimal process experiment; 4.2.1 Problem and design; 4.2.2 Data analysis; 4.3 Peek into the black box; 4.3.1 Quadratic effects; 4.3.2 Dummy variables for multilevel categorical factors; 4.3.3 Computing D-efficiencies; 4.3.4 Constructing Fraction of Design Space plots; 4.3.5 Calculating the average relative variance of prediction; 4.3.6 Computing I-efficiencies; 4.3.7 Ensuring the validity of inference based on ordinary least squares; 4.3.8 Design regions 327 $a4.4 Background reading4.5 Summary; 5 A response surface design in an irregularly shaped design region; 5.1 Key concepts; 5.2 Case: the yield maximization experiment; 5.2.1 Problem and design; 5.2.2 Data analysis; 5.3 Peek into the black box; 5.3.1 Cubic factor effects; 5.3.2 Lack-of-fit test; 5.3.3 Incorporating factor constraints in the design construction algorithm; 5.4 Background reading; 5.5 Summary; 6 A "mixture" experiment with process variables; 6.1 Key concepts; 6.2 Case: the rolling mill experiment; 6.2.1 Problem and design; 6.2.2 Data analysis; 6.3 Peek into the black box 327 $a6.3.1 The mixture constraint6.3.2 The effect of the mixture constraint on the model; 6.3.3 Commonly used models for data from mixture experiments; 6.3.4 Optimal designs for mixture experiments; 6.3.5 Design construction algorithms for mixture experiments; 6.4 Background reading; 6.5 Summary; 7 A response surface design in blocks; 7.1 Key concepts; 7.2 Case: the pastry dough experiment; 7.2.1 Problem and design; 7.2.2 Data analysis; 7.3 Peek into the black box; 7.3.1 Model; 7.3.2 Generalized least squares estimation; 7.3.3 Estimation of variance components; 7.3.4 Significance tests 327 $a7.3.5 Optimal design of blocked experiments 330 $a""This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book."" - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University ""It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion 606 $aExperimental design - Data processing 606 $aExperimental design -- Data processing 606 $aIndustrial engineering 606 $aIndustrial engineering -- Case studies 606 $aIndustrial engineering - Experiments - Computer-aided design 606 $aIndustrial engineering -- Experiments -- Computer-aided design 606 $aSCIENCE / Experiments & Projects 606 $aIndustrial engineering$xExperiments$xComputer-aided design$vCase studies 606 $aExperimental design$xData processing 606 $aIndustrial engineering 606 $aEngineering & Applied Sciences$2HILCC 606 $aApplied Mathematics$2HILCC 615 4$aExperimental design - Data processing. 615 4$aExperimental design -- Data processing. 615 4$aIndustrial engineering. 615 4$aIndustrial engineering -- Case studies. 615 4$aIndustrial engineering - Experiments - Computer-aided design. 615 4$aIndustrial engineering -- Experiments -- Computer-aided design. 615 4$aSCIENCE / Experiments & Projects. 615 0$aIndustrial engineering$xExperiments$xComputer-aided design 615 0$aExperimental design$xData processing 615 0$aIndustrial engineering 615 7$aEngineering & Applied Sciences 615 7$aApplied Mathematics 676 $a500 676 $a620.00420285 686 $aSCI028000$2bisacsh 700 $aGoos$b Peter$0876097 701 $aJones$b Bradley$042705 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910139627203321 996 $aOptimal Design of Experiments$92001403 997 $aUNINA LEADER 02113oam 2200649 450 001 9910711675403321 005 20211026151942.0 035 $a(CKB)5470000002485305 035 $a(OCoLC)1077475982 035 $a(EXLCZ)995470000002485305 100 $a20181204d2018 ua 0 101 0 $aeng 135 $aurbn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOversight hearing with Deputy Attorney General Rod Rosenstein $ehearing before the Committee on the Judiciary, House of Representatives, One Hundred Fifteenth Congress, first session, December 13, 2017 210 1$aWashington :$cU.S. Government Publishing Office,$d2018. 215 $a1 online resource (iii, 101 pages) 300 $a"Serial no. 115-49." 517 $aOversight hearing with Deputy Attorney General Rod Rosenstein 606 $aPresidents$zUnited States$xElection$y2016 606 $aHacking$zRussia (Federation) 606 $aPropaganda, Russian$zUnited States 606 $aGovernmental investigations$zUnited States 606 $aGovernmental investigations$2fast 606 $aHacking$2fast 606 $aPresidents$xElection$2fast 606 $aPropaganda, Russian$2fast 607 $aRussia (Federation)$2fast 607 $aUnited States$2fast 608 $aOnline resources. 608 $aLegislative hearings.$2fast 608 $aRules.$2fast 608 $aLegislative hearings.$2lcgft 615 0$aPresidents$xElection 615 0$aHacking 615 0$aPropaganda, Russian 615 0$aGovernmental investigations 615 7$aGovernmental investigations. 615 7$aHacking. 615 7$aPresidents$xElection. 615 7$aPropaganda, Russian. 801 0$bGPO 801 1$bGPO 801 2$bGPO 801 2$bMERUC 801 2$bOCLCF 801 2$bIAD 801 2$bOCLCO 801 2$bUPM 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910711675403321 996 $aOversight hearing with Deputy Attorney General Rod Rosenstein$93517218 997 $aUNINA