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Produktbild: Design and Analysis of Experiments, Volume 3
Band 3

Design and Analysis of Experiments, Volume 3 Special Designs and Applications

Aus der Reihe Wiley Series in Probability and Statistics

171,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.02.2012

Abbildungen

Graphs: 100 B&W, 0 Color

Herausgeber

Klaus Hinkelmann

Verlag

John Wiley & Sons

Seitenzahl

608

Maße (L/B/H)

23,9/16,5/3,3 cm

Gewicht

907 g

Auflage

Volume 3 edition

Sprache

Englisch

ISBN

978-0-470-53068-9

Beschreibung

Rezension

"The presentation by Wiley is superb, as we have come to expect. All in all, this is a first class offering." ( International Statistical Review , 1 October 2012)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.02.2012

Abbildungen

Graphs: 100 B&W, 0 Color

Herausgeber

Klaus Hinkelmann

Verlag

John Wiley & Sons

Seitenzahl

608

Maße (L/B/H)

23,9/16,5/3,3 cm

Gewicht

907 g

Auflage

Volume 3 edition

Sprache

Englisch

ISBN

978-0-470-53068-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Design and Analysis of Experiments, Volume 3

  • Preface xvii

    Contributors xxi

    1 Genetic Crosses Experiments 1
    Murari Singh, Sudhir Gupta, and Rajender Parsad

    1.1 Introduction, 1

    1.2 Basic Objectives and Models, 2

    1.3 Diallel Mating Design of Type I, 8

    1.4 Diallel Crosses: Type II Designs, 14

    1.5 Partial Diallel Crosses: No Blocking or Complete Blocks, 25

    1.6 Partial Diallel Crosses in Incomplete Blocks, 32

    1.7 Optimality, 44

    1.8 Robustness, 59

    1.9 Three- or Higher-Way Crosses, 61

    1.10 Computation, 65

    2 Design of Gene Expression Microarray Experiments 73
    Dan Nettleton

    2.1 Introduction, 73

    2.2 Gene Expression Microarray Technology, 74

    2.3 Preprocessing of Microarray Fluorescence Intensities, 76

    2.4 Introduction to Gene Expression Microarray Experimental Design, 80

    2.5 Two-Treatment Experiments Using Two-Color Microarrays, 81

    2.6 Two-Color Microarray Experiments Involving More Than Two Treatments, 86

    2.7 Multifactor Two-Color Microarray Experiments, 89

    2.8 Phase 2 Designs for Complex Phase 1 Designs, 94

    3 Spatial Analysis of Agricultural Field Experiments 109
    Joanne K. Stringer, Alison B. Smith, and Brian R. Cullis

    3.1 Introduction, 109

    3.2 Methods to Account for Spatial Variation, 110

    3.3 A Spatial Linear Mixed Model, 116

    3.4 Analysis of Examples, 122

    4 Optimal Designs for Generalized Linear Models 137
    John Stufken and Min Yang

    4.1 Introduction, 137

    4.2 Notation and Basic Concepts, 141

    4.3 Tools for Finding Locally Optimal Designs, 145

    4.4 GLMs with Two Parameters, 149

    4.5 GLMs with Multiple Parameters, 155

    4.6 Summary and Concluding Comments, 161

    5 Design and Analysis of Randomized Clinical Trials 165
    Janet Wittes and Zi-Fan Yu

    5.1 Overview, 165

    5.2 Components of a Randomized Clinical Trial, 168

    5.3 Bias, 175

    5.4 Statistical Analysis of Randomized Clinical Trials, 182

    5.5 Failure Time Studies, 184

    5.6 Other Topics, 206

    6 Monitoring Randomized Clinical Trials 213
    Eric S. Leifer and Nancy L. Geller

    6.1 Introduction, 213

    6.2 Normally Distributed Outcomes, 215

    6.3 Brownian Motion Properties, 217

    6.4 Brief Historical Overview of Group Sequential Methods, 219

    6.5 Dichotomous Outcomes, 223

    6.6 Time-to-Event Outcomes, 225

    6.7 Unconditional Power, 227

    6.8 Conditional Power, 229

    6.9 Spending Functions, 232

    6.10 Flexibility and Properties of Spending Functions, 233

    6.11 Modifying the Trial's Sample Size Based on a Nuisance Parameter, 235

    6.12 Sample Size Modification Based on the Interim Treatment Effect, 240

    6.13 Concluding Remarks, 246

    7 Adaptive Randomization in Clinical Trials 251
    Lanju Zhang and William F. Rosenberger

    7.1 Introduction, 251

    7.2 Adaptive Randomization Procedures, 252

    7.3 Likelihood-Based Inference, 264

    7.4 Randomization-Based Inference, 269

    7.5 Conclusions and Practical Considerations, 276

    8 Search Linear Model for Identification and Discrimination 283
    Subir Ghosh

    8.1 Introduction, 283

    8.2 General Linear Model with Fixed Effects, 284

    8.3 Search Linear Model, 285

    8.4 Applications, 288

    8.5 Effects of Noise in Performance Comparison, 293

    9 Minimum Aberration and Related Criteria for Fractional Factorial Designs 299
    Hegang H. Chen and Ching-Shui Cheng

    9.1 Introduction, 299

    9.2 Projections of Fractional Factorial Designs, 302

    9.3 Estimation Capacity, 304

    9.4 Clear Two-Factor Interactions, 307

    9.5 Estimation Index, 310

    9.6 Estimation Index, Minimum Aberration, and Maximum Estimation Capacity, 314

    9.7 Complementary Design Theory for Minimum Aberration Designs, 315

    9.8 Nonregular Designs and Orthogonal Arrays, 317

    9.9 Generalized Minimum Aberration, 320

    9.10 Optimal Fractional Factorial Block Designs, 322

    10 Designs for Choice Experiments for the Multinomial Logit Model 331
    Deborah J. Street and Leonie Burgess

    10.1 Introduction, 331

    10.2 Definitions, 332

    10.3 The MNL Model, 335

    10.4 Design Comparisons, 338

    10.5 Optimal Designs for DCEs, 340

    10.6 Using Combinatorial Designs to Construct DCEs, 364

    10.7 Bayesian Work, 368

    10.8 Best-Worst Experiments, 368

    10.9 Miscellaneous Topics, 370

    11 Computer Experiments 379
    Max D. Morris

    11.1 Introduction, 379

    11.2 Sensitivity/Uncertainty Analysis, 382

    11.3 Gaussian Stochastic Process Models, 385

    11.4 Inference, 389

    11.5 Experimental Designs, 398

    11.6 Multivariate Output, 403

    11.7 Multiple Data Sources, 406

    11.8 Conclusion, 409

    12 Designs for Large-Scale Simulation Experiments, with Applications to Defense and Homeland Security 413
    Susan M. Sanchez, Thomas W. Lucas, Paul J. Sanchez, Christopher J. Nannini, and Hong Wan

    12.1 Introduction, 413

    12.2 Philosophy: Evolution of Computational Experiments, 414

    12.3 Application: U.S. Army Unmanned Aerial Vehicle (UAV) Mix Study, 422

    12.4 Parting Thoughts, 437

    13 Robust Parameter Designs 443
    Timothy J. Robinson and Christine M. Anderson-Cook

    13.1 Introduction, 443

    13.2 Taguchi Signal-to-Noise Ratio Approach, 445

    13.3 Dual Model Response Surface Methodology, 448

    13.4 Single Model Response Surface Methods Using Combined Arrays, 451

    13.5 Computer Generated Combined Arrays, 461

    13.6 RPD Involving Quantitative and Qualitative Factors, 465

    13.7 Conclusions, 466

    14 Split-Plot Response Surface Designs 471
    G. Geoffrey Vining

    14.1 Introduction, 471

    14.2 Differences between Agricultural and Industrial Experimentation, 472

    14.3 OLS-GLS Equivalent Second-Order Split-Plot Designs and Analysis, 482

    14.4 Exact Tests for the Coeffi cients, 488

    14.5 Proper Residuals for Checking Assumptions, 493

    14.6 "Optimal" Second-Order Split-Plot Designs, 496

    15 Design and Analysis of Experiments for Directional Data 501
    Sango B. Otieno and Christine M. Anderson-Cook

    15.1 Summary, 501

    15.2 Introduction and Historical Background, 501

    15.3 ANOVA for Circular Data, 509

    15.4 ANOVA for Cylindrical Data, 521

    15.5 ANOVA for Spherical Data, 524

    15.6 Conclusions, 530

    References, 531

    Author Index 533

    Subject Index 545