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The Optimal Design of Blocked and Split-Plot Experiments

  • Peter Goos

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

  • Peter Goos
    • 1
  1. 1.Department of Applied EconomicsKatholieke Universiteit LeuvenLeuvenBelgium

Bibliographic information

  • 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
  • Print ISBN 978-0-387-95515-5
  • Online ISBN 978-1-4613-0051-9
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site
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