Experiments : planning, analysis, and parameter design optimization

著者

書誌事項

Experiments : planning, analysis, and parameter design optimization

C.F. Jeff Wu, Michael Hamada

(Wiley series in probability and mathematical statistics, . Text and references section)

J. Wiley, c2000

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注記

"A Wiley-Interscience publication." -- T.p.

Includes bibliographical references and indexes

内容説明・目次

内容説明

Experimental design is one of the most important subjects in statistics. Used in experimental investigations, statistically designed experiments are also a key tool for improving quality in industry and manufacturing. This practical book modernizes experimentation to develop a new system of design and analysis to define the area for years to come. The title's inclusion of modern, never--seen--before topics is compelling and the book will make an excellent complement to Wiley's best--selling Statistics for Experimenters.

目次

Basic Principles and Experiments with a Single Factor. Experiments With More Than One Factor. Full Factorial Experiments at Two Levels. Fractional Factorial Experiments at Two Levels. Full Factorial and Fractional Factorial Experiments at Three Levels. Other Design and Analysis Techniques for Experiments at More Than Two Levels. Nonregular Designs: Construction and Properties. Experiments with Complex Aliasing. Response Surface Methodology. Introduction to Robust Parameter Design. Robust Parameter Design for Signal-Response Systems. Experiments for Improving Reliability. Experiments With Nonnormal Data. Appendices. Indexes.

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詳細情報

  • NII書誌ID(NCID)
    BA46910652
  • ISBN
    • 0471255114
  • LCCN
    99052840
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    New York
  • ページ数/冊数
    xxviii, 630 p.
  • 大きさ
    25 cm
  • 分類
  • 件名
  • 親書誌ID
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