Design and analysis of experiments v. 3 Design and analysis of experiments

This book discusses special modifications and extensions of designs that arise in certain fields of application such as genetics, bioinformatics, agriculture, medicine, manufacturing, marketing, etc. Well-known and highly-regarded contributors have written individual chapters that have been extensively reviewed by the Editor to ensure that each individual contribution relates to material found in Volumes 1 and 2 of this book series. The chapters in Volume 3 have an introductory/historical component and proceed to a more advanced technical level to discuss the latest results and future developments in the field. Thus, Volume 3 serves as supplement to both Volume 1 and Volume 2 and is also accessible not only to statistics graduate students, but also to non-statistical readers. Where appropriate, numerical examples using the statistical software SAS are included in the book. Topical coverage includes: genetic cross experiments; designs for microarrays; incomplete cross-over designs; clinical trials; group sequential designs; adaptive designs; choice experiments; taste-testing experiments; grazing experiments; inter-cropping and competition designs;greenhouse experiments; long-term agricultural experiments; designs for circular and directional data; trend-free designs; one-at-a-time factorial designs;sequential fractional factorial designs; irregular fractional factorial designs; split-plot type response surface designs; multi-response designs; and computer experiments. INDICE: Preface Contributors 1. Genetic Crosses Experiments 1.1 Introduction 1.2 Basic Objectives and Models 1.3 Diallel Mating design of Type I 1.4 Dialle Crosses: Type II Designs 1.5 Partial Diallel Crosses: No Blocking or Complete Blocks 1.6 Partial Diallel Crosses in Incomplete Blocks 1.7 Optimality 1.8Robustness 1.9 Three- and Higher-way Crosses 1.10 Computation 1.11 References2. Design of Gene Expression Microarray Experiments 2.1 Introduction 2.2 GeneExpression Microarray Technology 2.3 Preprocessing of Microarray FluorescenceIntensities 2.4 Introduction to Gene Expression Microarray Experimental Design 2.5 Two-treatment Experiments Using Two-color Microarrays 2.6 Two-color Microarray Experiments Involving More than Two Treatments 2.7 Multifactor Two-color Microarray Experiments 2.8 Phase Two Designs for Complex Phase One Designs 2.9 References 3. Spatial Analysis of Agricultural Field Experiments 3.1 Introduction 3.2 Methods to Account for Spatial Variation 3.3 A Spatial Linear MixedModel 3.4 Analysis of Examples 3.5 References 4. Optimal Designs for Generalized Linear Models 4.1 Introduction 4.2 Notation and Basic Concepts 4.3 Tools for Finding Locally Optimal Designs 4.4 GLMs with Two Parameters 4.5 GLMs with Multiple Parameters 4.6 Summary and Concluding Comments 4.7 References 5. Design and Analysis of Randomized Clinical Trials 5.1 Overview 5.2 Components of aRandomized Clinical Trial 5.3 Bias 5.4 Statistical Analysis of Randomized Clinical Trials 5.5 Failure-Time Studies 5.6 Other Topics 5.7 References 6. Monitoring Randomized Clinical Trials 6.1 Introduction 6.2 Normally Distributed Outcomes 6.3 Brownian Motion Properties 6.4 Brief Historical Overview of Group Sequential Methods 6.5 Dichotomous Outcomes 6.6 Time-to-Event Outcomes 6.7 Unconditional Power 6.8 Conditional Power 6.9 Spending Functions 6.10 Flexibility and Properties of Spending Functions 6.11 Modifying the Trials Sample Size based on a Nuisance Parameter 6.12 Sample Size Modification Based on Interim Treatment Effect 6.13 Concluding Remarks 6.14 References 7. Adaptive Randomization in Clinical Trails 7.1 Introduction 7.2 Adaptive Randomization Procedures 7.3 Likelihood Based Inference 7.4 Randomization-Based Inference 7.5 Conclusions and Practical Considerations 7.6 Acknowledgments 7.7 References 8. Search Linear Model for Identification and Discrimination 8.1 Introduction 8.2 General Linear model with Fixed Effects 8.3 Search Linear Model 8.4 Applications 8.5 Effects of Noise in Performance Comparison 8.6 References 9. Minimum Aberration and Related Criteria for Fractional Factorial Designs 9.1 Introduction 9.2 Projections of Fractional Factorial Designs 9.3 Estimation Capacity 9.4 Clear Two-actor Interactions 9.5 Estimation Index 9.6 Estimation Index, Minimum Aberration and Maximum Estimation Capacity 9.7 Complementary Design Theory for Minimum Aberration Designs 9.8 Nonregular Designs and Orthogonal Arrays 9.9 Generalized Minimum Aberration 9.10 Optimal Fractional

• ISBN: 978-0-470-53068-9
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 580
• Fecha Publicación: 24/02/2012
• Nº Volúmenes: 1
• Idioma: Inglés