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Experimental Design With Application in Management, Engineering, and the Sciences.

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Beschreibung

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science...

Beschreibung

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout. 
 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.12.2017

Abbildungen

XVIII, 639 p. 159 illus., 150 illus. in color.

Verlag Springer

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

07.12.2017

Abbildungen

XVIII, 639 p. 159 illus., 150 illus. in color.

Verlag Springer
Seitenzahl

639

Maße (L/B/H)

23,5/15,5/3,6 cm

Gewicht

984 g

Auflage

Second Edition 2018

Originaltitel Experimental Design with Applications in Management, Engineering, and the Sciences
Sprache

Englisch

ISBN

978-3-319-64582-7

Herstelleradresse

Springer-Verlag GmbH
Europaplatz 3
69115 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Experimental Design
  • Produktbild: Experimental Design

  • 1. Introduction to experimental design.- 2. One-factor designs and the analysis of variance.- 3. Some further considerations on one-factor design and ANOVA.- 4. Multiple-comparison testing.- 5. Orthogonality, orthogonal decomposition, and their role in modern experimental design.- 6.- Two-factor cross-classification designs.- 7. Nested, or hierarchical, designs.- 8. Designs with three or more factors: Latin-square and related designs.- 9. Two-level factorial designs.- 10. Confounding/blocking in 2k designs.- 11. Two-level fractional-factorial designs.- 12. Designs with factors at three levels.- 13. Introduction to Taguchi methods.- 14. Simple regression.- 15. Multiple and step-wise regression.- 16. Introduction to Response-Surface Methodology.- 17. Introduction to mixture design and triangular surfaces.- 18. Literature on experimental design and discussion.