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Produktbild: Design Analy Experiments V2 1e
Band 2

Design Analy Experiments V2 1e Advanced Experimental Design

261,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.04.2005

Abbildungen

Graphs: 2 B&W, 0 Color

Verlag

John Wiley & Sons Inc

Seitenzahl

816

Maße (L/B/H)

24/16,1/4,8 cm

Gewicht

1370 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-0-471-55177-5

Beschreibung

Rezension

"...a massively impressive work of scholarship..." ( Short Book Reviews , December 2006)
"...a broad and in-depth book...covers not only classic but also up-to-date results and references, making it convenient for researchers. It is one of the very few advanced textbooks on experimental design..." ( Technometrics , November 2006)

"I suspect this excellent book will be used most often by specialists in design...the book s importance is largely as a reference for experts...or as an independent learning tool..." ( Journal of the American Statistical Association , June 2006)

"I would expect HK to attain essentially the same stature and appeal to virtually the same markets as the 1952 edition." ( Journal of Quality Technology , January 2006)

"...the authors have done a commendable job in putting together the vast amount of literature that is available on the topics...of great value to students, and also to teachers and researchers." ( Mathematical Reviews , 2006b)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.04.2005

Abbildungen

Graphs: 2 B&W, 0 Color

Verlag

John Wiley & Sons Inc

Seitenzahl

816

Maße (L/B/H)

24/16,1/4,8 cm

Gewicht

1370 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-0-471-55177-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Design Analy Experiments V2 1e
  • Preface xix

    1 General Incomplete Block Design 1

    1.1 Introduction and Examples 1

    1.2 General Remarks on the Analysis of Incomplete Block Designs 3

    1.3 The Intrablock Analysis 4

    1.4 Incomplete Designs with Variable Block Size 13

    1.5 Disconnected Incomplete Block Designs 14

    1.6 Randomization Analysis 16

    1.7 Interblock Information in an Incomplete Block Design 23

    1.8 Combined Intra- and Interblock Analysis 27

    1.9 Relationships Among Intrablock Interblock and Combined Estimation 31

    1.10 Estimation of Weights for the Combined Analysis 36

    1.11 Maximum-Likelihood Type Estimation 39

    1.12 Efficiency Factor of an Incomplete Block Design 43

    1.13 Optimal Designs 48

    1.14 Computational Procedures 52

    2 Balanced Incomplete Block Designs 71

    2.1 Introduction 71

    2.2 Definition of the BIB Design 71

    2.3 Properties of BIB Designs 72

    2.4 Analysis of BIB Designs 74

    2.5 Estimation of ¿ 77

    2.6 Significance Tests 79

    2.7 Some Special Arrangements 89

    2.8 Resistant and Susceptible BIB Designs 98

    3 Construction of Balanced Incomplete Block Designs 104

    3.1 Introduction 104

    3.2 Difference Methods 104

    3.3 Other Methods 113

    3.4 Listing of Existing BIB Designs 115

    4 Partially Balanced Incomplete Block Designs 119

    4.1 Introduction 119

    4.2 Preliminaries 119

    4.3 Definition and Properties of PBIB Designs 123

    4.4 Association Schemes and Linear Associative Algebras 127

    4.5 Analysis of PBIB Designs 131

    4.6 Classification of PBIB Designs 137

    4.7 Estimation of ¿ for PBIB(2) Designs 155

    5 Construction of Partially Balanced Incomplete Block Designs 158

    5.1 Group-Divisible PBIB(2) Designs 158

    5.2 Construction of Other PBIB(2) Designs 165

    5.3 Cyclic PBIB Designs 167

    5.4 Kronecker Product Designs 172

    5.5 Extended Group-Divisible PBIB Designs 178

    5.6 Hypercubic PBIB Designs 187

    6 More Block Designs and Blocking Structures 189

    6.1 Introduction 189

    6.2 Alpha Designs 190

    6.3 Generalized Cyclic Incomplete Block Designs 193

    6.4 Designs Based on the Successive Diagonalizing Method 194

    6.5 Comparing Treatments with a Control 195

    6.6 Row-Column Designs 213

    7 Two-Level Factorial Designs 241

    7.1 Introduction 241

    7.2 Case of Two Factors 241

    7.3 Case of Three Factors 248

    7.4 General Case 253

    7.5 Interpretation of Effects and Interactions 260

    7.6 Analysis of Factorial Experiments 262

    8 Confounding in 2 n Factorial Designs 279

    8.1 Introduction 279

    8.2 Systems of Confounding 283

    8.3 Composition of Blocks for a Particular System of Confounding 289

    8.4 Detecting a System of Confounding 291

    8.5 Using SAS for Constructing Systems of Confounding 293

    8.6 Analysis of Experiments with Confounding 293

    8.7 Interblock Information in Confounded Experiments 303

    8.8 Numerical Example Using SAS 311

    9 Partial Confounding in 2 n Factorial Designs 312

    9.1 Introduction 312

    9.2 Simple Case of Partial Confounding 312

    9.3 Partial Confounding as an Incomplete Block Design 318

    9.4 Efficiency of Partial Confounding 323

    9.5 Partial Confounding in a 23 Experiment 324

    9.6 Partial Confounding in a 24 Experiment 327

    9.7 General Case 329

    9.8 Double Confounding 335

    9.9 Confounding in Squares 336

    9.10 Numerical Examples Using SAS 338

    10 Designs with Factors at Three Levels 359

    10.1 Introduction 359

    10.2 Definition of Main Effects and Interactions 359

    10.3 Parameterization in Terms of Main Effects and Interactions 365

    10.4 Analysis of 3n Experiments 366

    10.5 Confounding in a 3n Factorial 368

    10.6 Useful Systems of Confounding 374

    10.7 Analysis of Confounded 3n Factorials 380

    10.8 Numerical Example 387

    11 General Symmetrical Factorial Design 393

    11.1 Introduction 393

    11.2 Representation of Effects and Interactions 395

    11.3 Generalized Interactions 396

    11.4 Systems of Confounding 398

    11.5 Intrablock Subgroup 400

    11.6 Enumerating Systems of Confounding 402

    11.7 Fisher Plans 403

    11.8 Symmetrical Factorials and Finite Geometries 409

    11.9 Parameterization of Treatment Responses 410

    11.10 Analysis of pn Factorial Experiments           412

    11.11 Interblock Analysis 421

    11.12 Combined Intra- and Interblock Information 426

    11.13 The sn Factorial 431

    11.14 General Method of Confounding for the Symmetrical Factorial Experiment 447

    11.15 Choice of Initial Block 463

    12 Confounding in Asymmetrical Factorial Designs 466

    12.1 Introduction 466

    12.2 Combining Symmetrical Systems of Confounding 467

    12.3 The GC/n Method 477

    12.4 Method of Finite Rings 480

    12.5 Balanced Factorial Designs (BFD) 491

    13 Fractional Factorial Designs 507

    13.1 Introduction 507

    13.2 Simple Example of Fractional Replication 509

    13.3 Fractional Replicates for 2n Factorial Designs 513

    13.4 Fractional Replicates for 3n Factorial Designs 524

    13.5 General Case of Fractional Replication 529

    13.6 Characterization of Fractional Factorial Designs of Resolution III IV and V 536

    13.7 Fractional Factorials and Combinatorial Arrays 547

    13.8 Blocking in Fractional Factorials 549

    13.9 Analysis of Unreplicated Factorials 558

    14 Main Effect Plans 564

    14.1 Introduction 564

    14.2 Orthogonal Resolution III Designs for Symmetrical Factorials 564

    14.3 Orthogonal Resolution III Designs for Asymmetrical Factorials 582

    14.4 Nonorthogonal Resolution III Designs 594

    15 Supersaturated Designs 596

    15.1 Introduction and Rationale 596

    15.2 Random Balance Designs 596

    15.3 Definition and Properties of Supersaturated Designs 597

    15.4 Construction of Two-Level Supersaturated Designs 598

    15.5 Three-Level Supersaturated Designs 603

    15.6 Analysis of Supersaturated Experiments 604

    16 Search Designs 608

    16.1 Introduction and Rationale 608

    16.2 Definition of Search Design 608

    16.3 Properties of Search Designs 609

    16.4 Listing of Search Designs 615

    16.5 Analysis of Search Experiments 617

    16.6 Search Probabilities 630

    17 Robust-Design Experiments 633

    17.1 Off-Line Quality Control 633

    17.2 Design and Noise Factors 634

    17.3 Measuring Loss 635

    17.4 Robust-Design Experiments 636

    17.5 Modeling of Data 638

    18 Lattice Designs 649

    18.1 Definition of Quasi-Factorial Designs 649

    18.2 Types of Lattice Designs 653

    18.3 Construction of One-Restrictional Lattice Designs 655

    18.4 General Method of Analysis for One-Restrictional Lattice Designs 657

    18.5 Effects of Inaccuracies in the Weights 661

    18.6 Analysis of Lattice Designs as Randomized Complete Block Designs 666

    18.7 Lattice Designs as Partially Balanced Incomplete Block Designs 669

    18.8 Lattice Designs with Blocks of Size Kl 670

    18.9 Two-Restrictional Lattices 671

    18.10 Lattice Rectangles 678

    18.11 Rectangular Lattices 679

    18.12 Efficiency Factors 682

    19 Crossover Designs 684

    19.1 Introduction 684

    19.2 Residual Effects 685

    19.3 The Model 685

    19.4 Properties of Crossover Designs 687

    19.5 Construction of Crossover Designs 688

    19.6 Optimal Designs 695

    19.7 Analysis of Crossover Designs 699

    19.8 Comments on Other Models 706

    Appendix A Fields and Galois Fields 716

    Appendix B Finite Geometries 721

    Appendix C Orthogonal and Balanced Arrays 724

    Appendix D Selected Asymmetrical Balanced Factorial Designs 728

    Appendix E Exercises 736

    References 749

    Author Index 767

    Subject Index 771