04802nam 22006734a 450 991096423260332120251116202705.097866113789819781281378989128137898497898127747369812774734(CKB)1000000000402037(EBL)1681702(OCoLC)879025573(SSID)ssj0000236844(PQKBManifestationID)11203241(PQKBTitleCode)TC0000236844(PQKBWorkID)10188189(PQKB)11352553(MiAaPQ)EBC1681702(WSP)00005915(Au-PeEL)EBL1681702(CaPaEBR)ebr10201283(CaONFJC)MIL137898(Perlego)848210(EXLCZ)99100000000040203720050701d2006 uy 0engur|n|---|||||txtccrResponse surface methodology and related topics /editor, Andre I. Khuri1st ed.Hacenksack, N.J. World Scientificc20061 online resource (472 p.)Description based upon print version of record.9789812564580 9812564586 Includes bibliographical references and index.Contents ; Preface ; List of Contributors ; Chapter 1 Two-Level Factorial and Fractional Factorial Designs in Blocks of Size Two. Part 2 ; 1. Introduction ; 2. The Six Factor 64 Runs 26 Design ; 3. Definitions and Notation ; 4. Combination Design Selection Process5. Case k = 6 d = 2 6. Case k = 6 d = 3 ; 7. Case k = 6 d = 4 ; 8. Case k = 6 d = 5 ; 9. Case k = 6 d = 6 ; 10. Sequential Designs for k = 7 Factors ; 11. Sequential Designs for k = 8 Factors ; References ; Chapter 2 Response Surface Experiments on Processes with High Variation1. Introduction 2. Design Strategy ; 3. Choice of Size of Experiment ; 4. Choice of Treatments ; 5. Unit Structures ; 6. Multi-Stratum Designs ; 7. Data Analysis ; 8. Final Comments ; ReferencesChapter 3 Random Run Order Randomization and Inadvertent Split-Plots in Response Surface Experiments 1. Introduction ; 2. Why Statistical Tests from RRO Experiments are Misleading ; 3. Examining the Split-Plotting Effect over All Randomizations4. The Diagnostic Power to Retrospectively Detect the Randomization Restriction 5. The Expected Covariance Matrix for RRO Experiments ; 6. G-Efficiencies and Cost When an RRO is Used ; 7. Remarks ; References ; Chapter 4 Statistical Inference for Response Surface Optima1. IntroductionThis is the first edited volume on response surface methodology (RSM). It contains 17 chapters written by leading experts in the field and covers a wide variety of topics ranging from areas in classical RSM to more recent modeling approaches within the framework of RSM, including the use of generalized linear models. Topics covering particular aspects of robust parameter design, response surface optimization, mixture experiments, and a variety of new graphical approaches in RSM are also included. The main purpose of this volume is to provide an overview of the key ideas that have shaped RSM,Response surfaces (Statistics)Response surfaces (Statistics)519.5Khuri André I.1940-251821MiAaPQMiAaPQMiAaPQBOOK9910964232603321Response surface methodology and related topics4534498UNINA