Introduction to the design and analysis of experiments


Introduction to the design and analysis of experiments

Geoffrey M. Clarke, Robert E. Kempson

Arnold, 1997

  • : uk
  • : us


Introduction to the design & analysis of experiments

大学図書館所蔵 件 / 9



Bibliography: p. [332]-335

Includes index



: uk ISBN 9780340645550


The design and analysis of experiments is typically taught as part of a second level course in statistics. Many different types and levels of students will require this information in order to progress with their studies and research. This text is thus offered as an introduction to this wide ranging and important subject. It has the advantage of explaining in an accessible way the basic principles behind good experimental thinking, planning and action. The authors have used their experience in teaching related courses to separate out what seem to be the essential basic contents for everyone, and to combine with these some of the most useful additional topics in biological, industrial, medical, and environmental experimentation.


  • Some basic statistics, especially hypothesis testing and inference for normal distributions, estimation and confidence intervals in linear models, linear regression
  • purposes of experimentation, sources of variability, randomization, replication, blocking, analysis of variance in simple designs. Methods of comparing treatment means and general contrasts among means. Latin squares and other orthogonal designs
  • assumptions behind an analysis. Study of plot residuals. Transformation of data
  • factorial sets of treatments. Factors at 2 and 3 levels. Interpreting interactions. Methods of analysis. Confounding to limit block size. Linear and quadratic contrasts for 3 levels
  • missing, lost or mixed-up observations. Methods for orthogonal designs. Iterative computing methods
  • analysis of convariance, including its uses as a missing-value technique
  • crossover designs. Analysis of medical trials
  • split-plot and split-block designs
  • non-orthogonal designs, total balanced oncomplete blocks, row and column designs, Youden squares and extensions
  • partial confounding and fractional replication in simple factorial designs
  • fitting response surfaces when quantitative factors are used, design of experiments for response-surface analysis
  • matrix notation for analysis of general block designs. Use of standard computer packages.

: us ISBN 9780470234099


Explains standard statistical methods in a non-mathematical manner. Describes how to use them, interpret the results, and how to illustrate reports with suitable graphics. Includes numerous, detailed worked examples and exercises.

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  • ISBN
    • 0340645555
    • 0470234091
  • LCCN
  • 出版国コード
  • タイトル言語コード
  • 本文言語コード
  • 出版地
  • ページ数/冊数
    viii, 344 p.
  • 大きさ
    25 cm
  • 分類
  • 件名