Handbook of Design and Analysis of Experiments

Angela Dean, Max Morris, John Stufken, Derek Bingham, Angela Dean, Max Morris, John Stufken, Derek Bingham

• Publisher: Chapman and Hall/CRC
• Year: 2015
• Print ISBN:
  9781466504332
• Edition: 1
• eBook ISBN:
  9781466504349
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.

Table of contents

• Cover
• Series
• Contents
• Preface
• Editors
• Contributors
• Section I: General Principles
• Chapter 1: History and Overview of Design and Analysis of Experiments
• Chapter 2: Introduction to Linear Models
• Section II: Designs for Linear Models
• Chapter 3: Blocking with Independent Responses
• Chapter 4: Crossover Designs
• Chapter 5: Response Surface Experiments and Designs
• Chapter 6: Design for Linear Regression Models with Correlated Errors
• Section III: Designs Accommodating Multiple Factors
• Chapter 7: Regular Fractional Factorial Designs
• Chapter 8: Multistratum Fractional Factorial Designs
• Chapter 9: Nonregular Factorial and Supersaturated Designs
• Chapter 10: Structures Defined by Factors
• Chapter 11: Algebraic Method in Experimental Design
• Section IV: Optimal Design for Nonlinear and Spatial Models
• Chapter 12: Optimal Design for Nonlinear and Spatial Models: Introduction and Historical Overview
• Chapter 13: Designs for Generalized Linear Models
• Chapter 14: Designs for Selected Nonlinear Models
• Chapter 15: Optimal Design for Spatial Models
• Section V: Computer Experiments
• Chapter 16: Design of Computer Experiments: Introduction and Background
• Chapter 17: Latin Hypercubes and Space-Filling Designs
• Chapter 18: Design for Sensitivity Analysis
• Chapter 19: Expected Improvement Designs
• Section VI: Cross-Cutting Issues
• Chapter 20: Robustness of Design
• Chapter 21: Algorithmic Searches for Optimal Designs
• Section VII: Design for Contemporary Applications
• Chapter 22: Design for Discrete Choice Experiments
• Chapter 23: Plate Designs in High-Throughput Screening Experiments for Drug Discovery
• Chapter 24: Up-and-Down Designs for Dose-Finding
• Chapter 25: Optimal Design for Event-Related fMRI Studies
• Back Cover