Description

Book Synopsis
With this comprehensive book, readers will learn how to design and set up mixture experiments and then analyze the data and draw inferences from the results. The third edition incorporates in-depth information from over 73 articles, covering the developments of the past decade.

Trade Review
"...an excellent book...lively andauthoritative...very readable" (Statistical Methods inMedical Research, No.13, 2004)

"Presents response surface methods for analyzing data frommixture experiments." (SciTech Book News, Vol. 26, No. 2,June 2002)

"No one should work with mixtures experiments of any complexitywithout a copy of this book." (Technometrics, Vol. 44, No.3, August 2002)

"...a significant improvement since the first edition, andincludes the work since the second edition...well-written, and theauthor makes every possible effort to provide a betterunderstanding and appreciation of the techniques employed inexperiments with mixtures." (Mathematical Reviews,2003a)

"...contains interesting new materials on designs and softwareand incorporates novel results that were derived in the 10intervening years since the second edition..." (Journal of theAmerican Statistical Association, March 2003)

"...an authoritative and comprehensive text on the design andstatistical analysis of mixture experiments...substantiallyrevised...the book should be a part of a research library."(Journal of Mathematical Psychology, Vol. 47, 2003)

Table of Contents
Preface to the Third Edition.

Preface to the Second Edition.

Introduction.

The Original Mixture Problem: Designs and Models for Exploring theEntire Simplex Factor Space.

The Use of Independent Variables.

Multiple Constraints on the Component Proportions.

The Analysis of Mixture Data.

Other Mixture Model Forms.

The Inclusion of Process Variables in Mixture Experiments.

Additional Topics.

Matrix Algebra, Least Squares, and the Analysis of Variance.

Data Sets from Mixture Experiments with Partial Solutions.

Bibliography and Index of Authors.

Answers to Selected Questions.

Appendix.

Index.

Experiments With Mixtures 3E Designs Models and

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      Publisher: John Wiley & Sons Inc
      Publication Date: 22/02/2002
      ISBN13: 9780471393672, 978-0471393672
      ISBN10: 0471393673
      Also in:
      Mathematics

      Description

      Book Synopsis
      With this comprehensive book, readers will learn how to design and set up mixture experiments and then analyze the data and draw inferences from the results. The third edition incorporates in-depth information from over 73 articles, covering the developments of the past decade.

      Trade Review
      "...an excellent book...lively andauthoritative...very readable" (Statistical Methods inMedical Research, No.13, 2004)

      "Presents response surface methods for analyzing data frommixture experiments." (SciTech Book News, Vol. 26, No. 2,June 2002)

      "No one should work with mixtures experiments of any complexitywithout a copy of this book." (Technometrics, Vol. 44, No.3, August 2002)

      "...a significant improvement since the first edition, andincludes the work since the second edition...well-written, and theauthor makes every possible effort to provide a betterunderstanding and appreciation of the techniques employed inexperiments with mixtures." (Mathematical Reviews,2003a)

      "...contains interesting new materials on designs and softwareand incorporates novel results that were derived in the 10intervening years since the second edition..." (Journal of theAmerican Statistical Association, March 2003)

      "...an authoritative and comprehensive text on the design andstatistical analysis of mixture experiments...substantiallyrevised...the book should be a part of a research library."(Journal of Mathematical Psychology, Vol. 47, 2003)

      Table of Contents
      Preface to the Third Edition.

      Preface to the Second Edition.

      Introduction.

      The Original Mixture Problem: Designs and Models for Exploring theEntire Simplex Factor Space.

      The Use of Independent Variables.

      Multiple Constraints on the Component Proportions.

      The Analysis of Mixture Data.

      Other Mixture Model Forms.

      The Inclusion of Process Variables in Mixture Experiments.

      Additional Topics.

      Matrix Algebra, Least Squares, and the Analysis of Variance.

      Data Sets from Mixture Experiments with Partial Solutions.

      Bibliography and Index of Authors.

      Answers to Selected Questions.

      Appendix.

      Index.

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