Titre : |
Experiments : planning, analysis, and parameter design optimization |
Type de document : |
texte imprimé |
Auteurs : |
Chien-Fu Wu, Auteur ; Michael S. (1955-....) Hamada, Auteur |
Mention d'édition : |
2nd Edition |
Editeur : |
New York : John Wiley & Sons |
Année de publication : |
2000 |
Collection : |
Wiley series in probability and statistics |
Importance : |
XXIX, 716 p. |
Présentation : |
ill. |
Format : |
24 cm |
ISBN/ISSN/EAN : |
978-0-471-69946-0 |
Langues : |
Anglais (eng) |
Mots-clés : |
Planning -- Analysis -- Parameter design optimization |
Index. décimale : |
519.863 Modèles d'optimisation |
Résumé : |
Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors--highly recognized researchers in the field--introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies while refining many cutting-edge topics in a single, easily accessible source suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians. |
Note de contenu : |
Summary :
1. Basic Concepts for Experimental Design and Introductory Regression Analysis
2. Experiments with a Single Factor
3. Experiments with More Than One Factor
4. Full Factorial Experiments at Two Levels
5. Fractional Factorial Experiments at Two Levels
6. Full Factorial and Fractional Factorial Experiments at Three Levels
7. Other Design and Analysis Techniques for Experiments at More Than Two Levels
8. Nonregular Designs: Construction and Properties.
9. Experiments with Complex Aliasing
10. Response Surface Methodology
11. Introduction to Robust Parameter Design
12. Robust Parameter Design for Signal-Response Systems.13 Experiments for Improving Reliability
14. Analysis of Experiments with Nonnormal Data |
En ligne : |
http://books.google.dz/books?id=63n8QAAACAAJ&hl=fr&source=gbs_ViewAPI&redir_esc= [...] |
Experiments : planning, analysis, and parameter design optimization [texte imprimé] / Chien-Fu Wu, Auteur ; Michael S. (1955-....) Hamada, Auteur . - 2nd Edition . - New York : John Wiley & Sons, 2000 . - XXIX, 716 p. : ill. ; 24 cm. - ( Wiley series in probability and statistics) . ISBN : 978-0-471-69946-0 Langues : Anglais ( eng)
Mots-clés : |
Planning -- Analysis -- Parameter design optimization |
Index. décimale : |
519.863 Modèles d'optimisation |
Résumé : |
Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available. The authors--highly recognized researchers in the field--introduce some of the newest discoveries and shed further light on existing ones. Drawing from their impressive roster of industrial clients, the authors modernize accepted methodologies while refining many cutting-edge topics in a single, easily accessible source suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians. |
Note de contenu : |
Summary :
1. Basic Concepts for Experimental Design and Introductory Regression Analysis
2. Experiments with a Single Factor
3. Experiments with More Than One Factor
4. Full Factorial Experiments at Two Levels
5. Fractional Factorial Experiments at Two Levels
6. Full Factorial and Fractional Factorial Experiments at Three Levels
7. Other Design and Analysis Techniques for Experiments at More Than Two Levels
8. Nonregular Designs: Construction and Properties.
9. Experiments with Complex Aliasing
10. Response Surface Methodology
11. Introduction to Robust Parameter Design
12. Robust Parameter Design for Signal-Response Systems.13 Experiments for Improving Reliability
14. Analysis of Experiments with Nonnormal Data |
En ligne : |
http://books.google.dz/books?id=63n8QAAACAAJ&hl=fr&source=gbs_ViewAPI&redir_esc= [...] |
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