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Design of Comparative Experiments

$54.99 (P)

Part of Cambridge Series in Statistical and Probabilistic Mathematics

  • Date Published: June 2008
  • availability: Available
  • format: Paperback
  • isbn: 9780521683579

$ 54.99 (P)

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About the Authors
  • Design of Comparative Experiments develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. These diagrams are used to elucidate structure, calculate degrees of freedom and allocate treatment sub-spaces to appropriate strata. Good design considers units and treatments first, and then allocates treatments to units. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. This book should be on the shelf of every practicing statistician who designs experiments.

    • Authoritative: Bailey is, without question, one of the foremost experts on experimental design
    • Fit for purpose: emphasis is on choosing a design to answer the research question at hand rather than on analysis of a given design
    • Real-life: examples are taken from real experiments, based on the author's experience
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    Reviews & endorsements

    "... a carefully planned, well-organized [manner]. Using very simple language, Bailey makes every effort to make this book enjoyable to read, and to bring appreciation to and a deep understanding of the concepts and issues in experimental designs."
    D.V. Chopra, Wichita State University for Choice Magazine

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    Product details

    • Date Published: June 2008
    • format: Paperback
    • isbn: 9780521683579
    • length: 346 pages
    • dimensions: 254 x 178 x 18 mm
    • weight: 0.63kg
    • contains: 175 b/w illus. 110 tables 140 exercises
    • availability: Available
  • Table of Contents

    1. Forward look
    2. Unstructured experiments
    3. Simple treatment structure
    4. Blocking
    5. Factorial treatment structure
    6. Row-column designs
    7. Experiments on people and animals
    8. Small units inside large units
    9. More about Latin squares
    10. The calculus of factors
    11. Incomplete-block designs
    12. Factorial designs in incomplete blocks
    13. Fractional factorial designs
    14. Backward look
    Sources of examples, Questions and exercises
    Further reading

  • Instructors have used or reviewed this title for the following courses

    • Statistics for Experimenters
  • Author

    R. A. Bailey, Queen Mary University of London
    R. A. Bailey has been Professor of Statistics at Queen Mary, University of London since 1994. She is a fellow of the Institute of Mathematical Statistics and a past president of the International Biometric Society, British Region. This book reflects her extensive experience teaching design of experiments and advising on its application. Her book Association Schemes was published by Cambridge University Press in 2004.

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