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The Design of Experiments: Statistical Principles for Practical Applications

The Design of Experiments: Statistical Principles for Practical Applications

The Design of Experiments: Statistical Principles for Practical Applications Paperback / softback - 1990

by R. Mead

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Paperback / softback. New. Well-designed and planned experiments are crucial to the success of research. This book describes the statistical principles of good experimental design and is intended for all applied statisticians and practising scientists engaged in the design, implementation and analysis of experiments.
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Details

  • Title The Design of Experiments: Statistical Principles for Practical Applications
  • Author R. Mead
  • Binding Paperback
  • Condition New
  • Pages 636
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 1990-07-26
  • Illustrated Yes
  • Features Illustrated, Index, Table of Contents
  • Bookseller's Inventory # A9780521287623
  • ISBN 9780521287623 / 0521287626
  • Weight 1.98 lbs (0.90 kg)
  • Dimensions 9.27 x 5.92 x 1.48 in (23.55 x 15.04 x 3.76 cm)
  • Category Science
  • Library of Congress Catalogue Number 87024236
  • Dewey Decimal Code 001.434
  • Quantity available 10

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From the publisher

Describes the statistical principles of good experimental design, explaining that good design of experiments is crucial to the success of research. Emphasizing the logical principles of statistical design, Professor Mead employs a minimum of mathematics. Throughout he assumes that the large-scale analysis of data will be performed by computers and he thus devotes more attention to discussions of how all of the available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from medicine, agriculture, industry, and other disciplines. Numerous exercises are given to help the reader practice techniques and to appreciate the difference that good design of experiments can make to a scientific project.

First line

In an experiment to compare different treatments, each treatment must be applied to several different units.

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