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Proceedings$fedited by Thambipillai Srikanthan, Jingling Xue, Chip-Hong Chang 210 $aBerlin ; Heidelberg$cSpringer$d2005 225 1 $aLecture Notes in Computer Science$x0302-9743$v3740 230 $aDocumento elettronico 336 $aTesto 337 $aFormato html, pdf 702 1$aChang,$bChip-Hong 702 1$aSrikanthan,$bThambipillai 702 1$aXue,$bJingling 801 0$aIT$bUNINA$gREICAT$2UNIMARC 856 4 $zFull text per gli utenti Federico II$uhttp://dx.doi.org/10.1007/11572961 901 $aEB 912 $a990009244900403321 961 $aArithmetic and Logic Structures 961 $aComputer Communication Networks 961 $aComputer Communication Networks 961 $aComputer science 961 $aComputer Science 961 $aData transmission systems 961 $aInput/Output and Data Communications 961 $aLogic design 961 $aLogic Design 961 $aOperating Systems 961 $aOperating systems (Computers) 961 $aProcessor Architectures 996 $aAdvances in Computer Systems Architecture$9772404 997 $aUNINA LEADER 01722nam 2200541Ia 450 001 9910455571803321 005 20200520144314.0 010 $a0-8157-1754-7 035 $a(CKB)111087027972522 035 $a(OCoLC)53706039 035 $a(CaPaEBR)ebrary10063920 035 $a(SSID)ssj0000274231 035 $a(PQKBManifestationID)12070704 035 $a(PQKBTitleCode)TC0000274231 035 $a(PQKBWorkID)10323435 035 $a(PQKB)11366774 035 $a(MiAaPQ)EBC3004436 035 $a(OCoLC)1132223289 035 $a(MdBmJHUP)muse73205 035 $a(Au-PeEL)EBL3004436 035 $a(CaPaEBR)ebr10063920 035 $a(EXLCZ)99111087027972522 100 $a20041017d2003 my 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aWorkways of governance$b[electronic resource] $emonitoring our government's health /$fRoger H. Davidson, editor 210 $aWashington, D.C. $cGovernance Institute $cBrookings Institution Press$dc2003 215 $a1 online resource (191 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8157-1752-0 320 $aIncludes bibliographical references and index. 606 $aAdministrative agencies$zUnited States$xEvaluation 606 $aCourts$zUnited States$xEvaluation 608 $aElectronic books. 615 0$aAdministrative agencies$xEvaluation. 615 0$aCourts$xEvaluation. 676 $a351.73/07/2 701 $aDavidson$b Roger H$0859741 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910455571803321 996 $aWorkways of governance$91918554 997 $aUNINA LEADER 05006nam 22006255 450 001 9910254310703321 005 20250909132639.0 010 $a3-319-52250-7 024 7 $a10.1007/978-3-319-52250-0 035 $a(CKB)3850000000027351 035 $a(DE-He213)978-3-319-52250-0 035 $a(MiAaPQ)EBC6315198 035 $a(MiAaPQ)EBC5591537 035 $a(Au-PeEL)EBL5591537 035 $a(OCoLC)982482702 035 $a(PPN)200509977 035 $a(EXLCZ)993850000000027351 100 $a20170405d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDesign and Analysis of Experiments /$fby Angela Dean, Daniel Voss, Danel Dragulji? 205 $a2nd ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXV, 840 p. 146 illus., 52 illus. in color.) 225 1 $aSpringer Texts in Statistics,$x2197-4136 311 08$a3-319-52248-5 327 $aPrinciples and Techniques -- Planning Experiments -- Designs With One Source of Variation -- Inferences for Contrasts and Treatment Means -- Checking Model Assumptions -- Experiments With Two Crossed Treatment Factors -- Several Crossed Treatment Factors -- Polynomial Regression -- Analysis of Covariance -- Complete Block Designs -- Incomplete Block Designs -- Designs With Two Blocking Factors -- Confounded Two-Level Factorial Experiments -- Confounding in General Factorial Experiments -- Fractional Factorial Experiments -- Response Surface Methodology -- Random Effects and Variance Components -- Nested Models -- Split-Plot Designs. 330 $aThis textbook takes a strategic approach to the broad-reaching subject of experimental design by identifying the objectives behind an experiment and teaching practical considerations that govern design and implementation, concepts that serve as the basis for the analytical techniques covered. Rather than a collection of miscellaneous approaches, chapters build on the planning, running, and analyzing of simple experiments in an approach that results from decades of teaching the subject. In most experiments, the procedures can be reproduced by readers, thus giving them a broad exposure to experiments that are simple enough to be followed through their entire course. Outlines of student and published experiments appear throughout the text and as exercises at the end of the chapters. The authors develop the theory of estimable functions and analysis of variance with detail, but at a mathematical level that is simultaneously approachable. Throughout the book, statistical aspects of analysis complement practical aspects of design. This new, second edition includes an additional chapter on computer experiments additional "Using R? sections at the end of each chapter to illustrate R code and output updated output for all SAS programs and use of SAS Proc Mixed new material on screening experiments and analysis of mixed models Angela Dean, PhD, is Professor Emeritus of Statistics and a member of the Emeritus Academy at The Ohio State University, Columbus, Ohio. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Her research interests include design of screening and computer experiments. Daniel Voss, PhD, is Professor Emeritus of Mathematics and Statistics and former Interim Dean of the College of Science and Mathematics at Wright State University, Dayton, Ohio. His researchinterests include the analysis of saturated fractional factorial experiments, and the equivalence of hypothesis testing and confidence interval estimation. Danel Draguljic, PhD, is Assistant Professor of Mathematics at Franklin & Marshall College, Lancaster, Pennsylvania. 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