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Cyclic Designs

  • J. A. John

Part of the Monographs on Statistics and Applied Probability book series (MSAP)

Table of contents

  1. Front Matter
    Pages i-x
  2. J. A. John
    Pages 1-22
  3. J. A. John
    Pages 23-39
  4. J. A. John
    Pages 40-60
  5. J. A. John
    Pages 61-92
  6. J. A. John
    Pages 93-115
  7. J. A. John
    Pages 182-204
  8. Back Matter
    Pages 205-232

About this book

Introduction

The biggest single influence on the development of the subject of design of experiments over the past quarter-century has been the availability of computers. Prior to the computer it was essential that any design had a straightforward method of analysis, which meant that the mathematical and combinatorial properties of the designs were of primary importance. Many of the designs proposed and studied also possessed important statistical properties and thus continue to be practically useful but, now that ease of analysis is less important, a very large number of these designs no longer have any real value. With the advent ofthe computer it has become possible to study families of designs which have relatively simple methods of construction and which provide large numbers of designs. Within a family, the designs which satisfy certain desirable statistical, rather than mathematical, properties can then be identified using a combin­ ation of theory and computing. One of the primary aims of this monograph is to study families of block and row-column designs, both unifactor and multifactor, whose methods of construction are cyclical in nature; hence the title Cyclic Designs. The usual practice adopted in books on the design of experiments is to follow the description of a particular design by its method of analysis and, possibly, a numerical example.

Keywords

Factor Mathematica Statistica availability computer construction design development efficiency form information

Authors and affiliations

  • J. A. John
    • 1
  1. 1.Department of MathematicsUniversity of SouthamptonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4899-3326-3
  • Copyright Information Springer Science+Business Media New York 1987
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-412-28240-9
  • Online ISBN 978-1-4899-3326-3
  • Buy this book on publisher's site
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