Modern Experimental Design
eBook - PDF

Modern Experimental Design

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

Modern Experimental Design

About this book

A complete and well-balanced introduction to modern experimental design

Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications.

Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of:

  • Conditional effects analysis as a proposed general method of analysis
  • Multiresponse optimization
  • Space-filling designs, including Latin hypercube and uniform designs
  • Restricted regions of operability and debarred observations
  • Analysis of Means (ANOM) used to analyze data from various types of designs
  • The application of available software, including Design-Expert, JMP, and MINITAB

This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.

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Yes, you can access Modern Experimental Design by Thomas P. Ryan 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

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. Chapter 1 Introduction
  7. Chapter 2 Completely Randomized Design
  8. Chapter 3 Designs that Incorporate Extraneous (Blocking) Factors
  9. Chapter 4 Full Factorial Designs with Two Levels
  10. Chapter 5 Fractional Factorial Designs with Two Levels
  11. Chapter 6 Designs With More Than Two Levels
  12. Chapter 7 Nested Designs
  13. Chapter 8 Robust Designs
  14. Chapter 9 Split-Unit, Split-Lot, and Related Designs
  15. Chapter 10 Response Surface Designs
  16. Chapter 11 Repeated Measures Designs
  17. Chapter 12 Multiple Responses
  18. Chapter 13 Miscellaneous Design Topics
  19. Chapter 14 Tying It All Together
  20. Answers to Selected Exercises
  21. Appendix: Statistical Tables
  22. Author Index
  23. Subject Index
  24. EULA