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© 2002

The Optimal Design of Blocked and Split-Plot Experiments

Book

Part of the Lecture Notes in Statistics book series (LNS, volume 164)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Peter Goos
    Pages 1-46
  3. Peter Goos
    Pages 47-69
  4. Peter Goos
    Pages 71-101
  5. Peter Goos
    Pages 155-183
  6. Peter Goos
    Pages 201-216
  7. Peter Goos
    Pages 229-232
  8. Back Matter
    Pages 233-246

About this book

Introduction

This book provides a comprehensive treatment of the design of blocked and split-plot experiments, two types of experiments that are extremely popular in practice. The traget audience includes applied statisticians and academics. The optial design approach advocated in the book will help applied statisticians from industry, medicine, agriculture, chemistry, and many other fields of study in setting up tailor-made experiments. This is illustrated by a number of examples. The book also contains a theoretical background, a thorough review of the recent work in the area of blocked and split-plot experiments, and a number of interesting theoretical results.

Keywords

Variance block design design of experiments optimal design split-plot design

Authors and affiliations

  1. 1.Department of Applied EconomicsKatholieke Universiteit LeuvenLeuvenBelgium

Bibliographic information

  • Book Title The Optimal Design of Blocked and Split-Plot Experiments
  • Authors Peter Goos
  • Series Title Lecture Notes in Statistics
  • DOI https://doi.org/10.1007/978-1-4613-0051-9
  • Copyright Information Springer-Verlag New York, Inc. 2002
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-0-387-95515-5
  • eBook ISBN 978-1-4613-0051-9
  • Series ISSN 0930-0325
  • Edition Number 1
  • Number of Pages XIII, 264
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Statistical Theory and Methods
  • Buy this book on publisher's site
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Reviews

"Many books and papers discussing the blocking of experimental designs have been published since the appearance of the pioneer work of Ronald Fisher nearly a century ago. Unlike most of them, the author of the book approaches this topic as an application of the theory of optimum design. This is achieved without presenting too complex mathematical derivations of results, while those provided are clearly presented and easy to follow…A valuable addition to the literature on Design of Experiments." –Biometrics, June 2004

"The Optimal Design of Blocked and Split-Plot Experiments is a good overview of the techniques available in the optimal design of blocked and split-plot experiments, including the author's own great research in this field. The optimal design approach advocated in this book will help practitioners of statistics in setting up tailor-made experiments. It is also a good reference book for researchers and students in applied statistics." Techometrics, February 2005