Methods for experimental design : principles and applications for physicists and chemists

書誌事項

Methods for experimental design : principles and applications for physicists and chemists

Jacques L. Goupy

(Data handling in science and technology, v. 12)

Elsevier, 1993

タイトル別名

Méthode des plans d'expériences

統一タイトル

Méthode des plans d'expériences

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注記

Revised translation of: La méthode des plans d'expériences

Includes bibliographical references and index

内容説明・目次

内容説明

A method for organizing and conducting scientific experiments is described in this volume, which enables experimenters to reduce the number of trials run, while retaining all the parameters that may influence the result. The choice of ideal experiments is based on mathematical concepts, but the author adopts a practical approach and uses theory only when necessary. Written for experimenters by an experimenter, it is an introduction to the philosophy of scientific investigation. Researchers with limited time and resources at their disposal should find this text a valuable guide for solving specific problems efficiently. The presentation makes extensive use of examples, and the approach and methods are graphical rather than numerical. All calculations can be performed on a personal computer; readers are assumed to have no previous knowledge of the subject. The presentation is such that the beginner may acquire a thorough understanding of the basic concepts. However, there is also sufficient material to challenge the advanced student. The book is, therefore, suitable for both first and advanced courses. The many examples can also be used in detail for self-study or as a reference.

目次

  • Research strategy - definition and objectives
  • two-level complete factorial designs - 2.2, 2k
  • the concept of optimal design
  • two-level fractional factorial designs - 2k-p, the alias theory, examples
  • types of matrices
  • trial sequences - randomization, blocking
  • mathematical modelling of factorial 2k designs
  • choosing complementary trials
  • beyond influencing factors
  • practical method of calculation using a quality example
  • detailed calculations for the truck suspension springs example
  • experimental designs and computer simulations
  • practical experimental designs
  • overview and suggestions. Appendices: matrices and matrix calculations
  • statistics useful in experimental designs
  • order of trials that leaves the effects of the main factors uninfluenced by linear drift
  • application of a 2.3 design.

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