LEADER 05287nam 22006494a 450 001 9910143177103321 005 20170810191626.0 010 $a1-280-36675-3 010 $a9786610366750 010 $a0-470-23239-0 010 $a0-471-46134-2 010 $a0-471-26980-8 035 $a(CKB)111087027124432 035 $a(EBL)468626 035 $a(OCoLC)52506761 035 $a(SSID)ssj0000113186 035 $a(PQKBManifestationID)11128108 035 $a(PQKBTitleCode)TC0000113186 035 $a(PQKBWorkID)10099780 035 $a(PQKB)10347549 035 $a(MiAaPQ)EBC468626 035 $a(EXLCZ)99111087027124432 100 $a20020912d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBlock copolymers$b[electronic resource] $esynthetic strategies, physical properties, and applications /$fNikos Hadjichristidis, Stergios Pispas, George Floudas 210 $aHoboken, N.J. $cWiley-Interscience$dc2003 215 $a1 online resource (445 p.) 300 $aDescription based upon print version of record. 311 $a0-471-39436-X 320 $aIncludes bibliographical references and index. 327 $aBLOCK COPOLYMERS; CONTENTS; Preface; Abbreviations and Symbols; I BLOCK COPOLYMER SYNTHESIS; 1 BLOCK COPOLYMERS BY ANIONIC POLYMERIZATION; 1. Synthesis of AB Diblock Copolymers; 2. Synthesis of Triblock Copolymers; 3. Linear Block Copolymers With More Than Three Blocks; 2 BLOCK COPOLYMERS BY CATIONIC POLYMERIZATION; 1. Synthesis of AB Diblock Copolymers; 2. Synthesis of Triblock Copolymers; 3 BLOCK COPOLYMERS BY LIVING FREE RADICAL POLYMERIZATION; 1. Synthesis of AB Diblock Copolymers; 2. Synthesis of ABA Triblock Copolymers 327 $a3. Synthesis of ABC Triblock Terpolymers and ABCD Tetrablock Quarterpolymers4 BLOCK COPOLYMERS BY GROUP TRANSFER POLYMERIZATION; 1. Synthesis of AB Diblock Copolymers; 2. Synthesis of ABA Triblock Copolymers; 3. Synthesis of ABC Triblock Terpolymers; 5 BLOCK COPOLYMERS BY RING OPENING METATHESIS POLYMERIZATION; 1. Synthesis of AB Diblock Copolymers; 2. Synthesis of ABA Triblock Copolymers; 6 SYNTHESIS OF BLOCK COPOLYMERS BY A COMBINATION OF DIFFERENT POLYMERIZATION METHODS; 1. Synthesis of Block Copolymers by Anionic to Cationic Mechanism Transformation 327 $a2. Synthesis of Block Copolymers by Anionic to Living Free Radical Mechanism Transformation3. Synthesis of Block Copolymers by Cationic to Anionic Mechanism Transformation; 4. Synthesis of Block Copolymers by Cationic to Onium Mechanism Transformation; 5. Synthesis of Block Copolymers by Cationic to Living Free Radical Mechanism Transformation; 6. Synthesis of Block Copolymers by Living Free Radical to Cationic Mechanism Transformation; 7. Synthesis of Block Copolymers by Ring Opening Metathesis to Living Free Radical Mechanism Transformation 327 $a8. Synthesis of Block Copolymers by Ring Opening Metathesis to Group Transfer Mechanism Transformation9. Other Combinations; 10. Bifunctional (DUAL) Initiators; 11. Synthesis of Block Copolymers by Direct Coupling of Preformed Living Blocks; 12. Synthesis of Block Copolymers by Coupling of End-functionalized Prepolymers; 7 SYNTHESIS OF BLOCK COPOLYMERS BY CHEMICAL MODIFICATION; 1. Hydrogenation; 2. Hydrolysis; 3. Quaternization; 4. Sulfonation; 5. Hydroboration/Oxidation; 6. Epoxidation; 7. Chloro/BromoMethylation; 8. Hydrosilylation; 8 NONLINEAR BLOCK COPOLYMERS; 1. Star Block Copolymers 327 $a2. Graft Copolymers3. Miktoarm Star Copolymers; 4. Other Complex Architectures; II MOLECULAR CHARACTERIZATION OF BLOCK COPOLYMERS; 9 MOLECULAR CHARACTERIZATION OF BLOCK COPOLYMERS; 1. Purification of Block Copolymers by Fractionation; 2. Molecular Characterization; III SOLUTION PROPERTIES OF BLOCK COPOLYMERS; 10 DILUTE SOLUTIONS OF BLOCK COPOLYMERS IN NONSELECTIVE SOLVENTS; 11 DILUTE SOLUTIONS OF BLOCK COPOLYMERS IN SELECTIVE SOLVENTS; 1. Thermodynamics of Micellization; 2. Phenomenology of Block Copolymer Micellar Structure; 3. Experimental Techniques for Studying Micelle Formation 327 $a4. Equilibrium Structure of Block Copolymer Micelles 330 $aPolymers may be classified as either homopolymers, consisting of one single repeating unit, or copolymers, consisting of two or more distinct repeating units. Block copolymers contain long contiguous blocks of two or more repeating units in the same polymer chain. Covering one of the hottest topics in polymer chemistry, Block Copolymers provides a coherent overview of the synthetic routes, physical properties, and applications of block copolymers.This pioneering text provides not only a guideline for developing synthetic strategies for creating block copolymers with defined characteristics 606 $aBlock copolymers 608 $aElectronic books. 615 0$aBlock copolymers. 676 $a547 676 $a547.7 676 $a547.84 700 $aHadjichristidis$b Nikos$f1943-$0873749 701 $aPispas$b Stergios$f1967-$0873750 701 $aFloudas$b George$f1961-$0873751 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143177103321 996 $aBlock copolymers$91950614 997 $aUNINA LEADER 05565nam 22006734a 450 001 9911019170403321 005 20200520144314.0 010 $a9786610649952 010 $a9781280649950 010 $a128064995X 010 $a9780470863077 010 $a0470863072 010 $a9780470863084 010 $a0470863080 035 $a(CKB)1000000000356051 035 $a(EBL)274402 035 $a(SSID)ssj0000263915 035 $a(PQKBManifestationID)11192364 035 $a(PQKBTitleCode)TC0000263915 035 $a(PQKBWorkID)10283144 035 $a(PQKB)11168849 035 $a(MiAaPQ)EBC274402 035 $a(OCoLC)85820898 035 $a(Perlego)2787943 035 $a(EXLCZ)991000000000356051 100 $a20051116d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUncertainty analysis with high dimensional dependence modelling /$fDorota Kurowicka and Roger Cooke 210 $aChichester, England ;$aHoboken, NJ $cWiley$dc2006 215 $a1 online resource (308 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780470863060 311 08$a0470863064 320 $aIncludes bibliographical references (p. [273]-279) and index. 327 $aUncertainty Analysis with High Dimensional Dependence Modelling; Contents; Preface; 1 Introduction; 1.1 Wags and Bogsats; 1.2 Uncertainty analysis and decision support: a recent example; 1.3 Outline of the book; 2 Assessing Uncertainty on Model Input; 2.1 Introduction; 2.2 Structured expert judgment in outline; 2.3 Assessing distributions of continuous univariate uncertain quantities; 2.4 Assessing dependencies; 2.5 Unicorn; 2.6 Unicorn projects; 3 Bivariate Dependence; 3.1 Introduction; 3.2 Measures of dependence; 3.2.1 Product moment correlation; 3.2.2 Rank correlation; 3.2.3 Kendall's tau 327 $a3.3 Partial, conditional and multiple correlations3.4 Copulae; 3.4.1 Fr ?echet copula; 3.4.2 Diagonal band copula; 3.4.3 Generalized diagonal band copula; 3.4.4 Elliptical copula; 3.4.5 Archimedean copulae; 3.4.6 Minimum information copula; 3.4.7 Comparison of copulae; 3.5 Bivariate normal distribution; 3.5.1 Basic properties; 3.6 Multivariate extensions; 3.6.1 Multivariate dependence measures; 3.6.2 Multivariate copulae; 3.6.3 Multivariate normal distribution; 3.7 Conclusions; 3.8 Unicorn projects; 3.9 Exercises; 3.10 Supplement; 4 High-dimensional Dependence Modelling; 4.1 Introduction 327 $a4.2 Joint normal transform4.3 Dependence trees; 4.3.1 Trees; 4.3.2 Dependence trees with copulae; 4.3.3 Example: Investment; 4.4 Dependence vines; 4.4.1 Vines; 4.4.2 Bivariate- and copula-vine specifications; 4.4.3 Example: Investment continued; 4.4.4 Partial correlation vines; 4.4.5 Normal vines; 4.4.6 Relationship between conditional rank and partial correlations on a regular vine; 4.5 Vines and positive definiteness; 4.5.1 Checking positive definiteness; 4.5.2 Repairing violations of positive definiteness; 4.5.3 The completion problem; 4.6 Conclusions; 4.7 Unicorn projects; 4.8 Exercises 327 $a4.9 Supplement4.9.1 Proofs; 4.9.2 Results for Section 4.4.6; 4.9.3 Example of fourvariate correlation matrices; 4.9.4 Results for Section 4.5.2; 5 Other Graphical Models; 5.1 Introduction; 5.2 Bayesian belief nets; 5.2.1 Discrete bbn's; 5.2.2 Continuous bbn's; 5.3 Independence graphs; 5.4 Model inference; 5.4.1 Inference for bbn's; 5.4.2 Inference for independence graphs; 5.4.3 Inference for vines; 5.5 Conclusions; 5.6 Unicorn projects; 5.7 Supplement; 6 Sampling Methods; 6.1 Introduction; 6.2 (Pseudo-) random sampling; 6.3 Reduced variance sampling; 6.3.1 Quasi-random sampling 327 $a6.3.2 Stratified sampling6.3.3 Latin hypercube sampling; 6.4 Sampling trees, vines and continuous bbn's; 6.4.1 Sampling a tree; 6.4.2 Sampling a regular vine; 6.4.3 Density approach to sampling regular vine; 6.4.4 Sampling a continuous bbn; 6.5 Conclusions; 6.6 Unicorn projects; 6.7 Exercise; 7 Visualization; 7.1 Introduction; 7.2 A simple problem; 7.3 Tornado graphs; 7.4 Radar graphs; 7.5 Scatter plots, matrix and overlay scatter plots; 7.6 Cobweb plots; 7.7 Cobweb plots local sensitivity: dike ring reliability; 7.8 Radar plots for importance; internal dosimetry; 7.9 Conclusions 327 $a7.10 Unicorn projects 330 $aMathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In recent years there has been an explosion of interest in uncertainty analysis. Uncertainty and dependence elicitation, dependence modelling, model inference, efficient sampling, screening and sensitivity analysis, and probabilistic inversion are among t 410 0$aWiley series in probability and statistics. 606 $aUncertainty (Information theory)$xMathematics 615 0$aUncertainty (Information theory)$xMathematics. 676 $a003/.54 700 $aKurowicka$b Dorota$f1967-$0474601 701 $aCooke$b Roger$f1942-$0731611 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019170403321 996 $aUncertainty analysis with high dimensional dependence modelling$91441399 997 $aUNINA