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Experimental design = with applicati...

Berger, Paul D.

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Experimental design = with applications in management, engineering and the sciences /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Experimental design/ by Paul D. Berger, Robert E. Maurer, Giovana B. Celli.
其他題名:	with applications in management, engineering and the sciences /
作者:	Berger, Paul D.
其他作者:	Maurer, Robert E.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xviii, 639 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Experimental design. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-64583-4
ISBN:	9783319645834

Experimental design = with applications in management, engineering and the sciences /
Berger, Paul D.

Experimental designwith applications in management, engineering and the sciences /[electronic resource] :by Paul D. Berger, Robert E. Maurer, Giovana B. Celli. - 2nd ed. - Cham :Springer International Publishing :2018. - xviii, 639 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319645834

Standard No.: 10.1007/978-3-319-64583-4doiSubjects--Topical Terms:

524737
Experimental design.

LC Class. No.: QA279

Dewey Class. No.: 519.57

Experimental design = with applications in management, engineering and the sciences /
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520 $a 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.
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