Handbook of Design and Analysis of Experiments
eBook - PDF

Handbook of Design and Analysis of Experiments

  1. 960 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Handbook of Design and Analysis of Experiments

About this book

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.

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Yes, you can access Handbook of Design and Analysis of Experiments by Angela Dean, Max Morris, John Stufken, Derek Bingham, Angela Dean,Max Morris,John Stufken,Derek Bingham in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

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

Table of contents

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