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Experimental Design With Application in Management Engineering and the Sciences 2018 Edition at Meripustak

Experimental Design With Application in Management Engineering and the Sciences 2018 Edition by Paul D. Berger, Robert E. Maurer, Giovana B. Celli , Springer

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  • General Information  
    Author(s)Paul D. Berger, Robert E. Maurer, Giovana B. Celli
    PublisherSpringer
    ISBN9783319645827
    Pages639
    BindingPaperback
    LanguageEnglish
    Publish YearJanuary 2018

    Description

    Springer Experimental Design With Application in Management Engineering and the Sciences 2018 Edition by Paul D. Berger, Robert E. Maurer, Giovana B. Celli

    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. Table of contents : PREFACE Chapter 1 - Introduction to experimental designPART I - Statistical principles on design of experiments Chapter 2 - One-factor designs and the analysis of variance Chapter 3 - Some further considerations on one-factor design and ANOVA Chapter 4 - Multiple-comparison testingChapter 5 - Orthogonality, orthogonal decomposition, and their role in modern experimental designPART II - Identifying active factors Chapter 6 - Two-factor cross-classification designs Chapter 7 - Nested, or hierarchical, designs Chapter 8 - Designs with three or more factors: Latin-square and related designsPART III - Studying factors' effects (suggestion) Chapter 9 - Two-level factorial designs Chapter 10 - Confounding/blocking in 2k designsChapter 11 - Two-level fractional-factorial designs Chapter 12 - Designs with factors at three levels Chapter 13 - Introduction to Taguchi methodsPART IV - Regression analysis, surface designs, and other topicsChapter 14 - Simple regression Chapter 15 - Multiple and step-wise regression Chapter 16 - Introduction to Response-Surface Methodology Chapter 17 - Introduction to mixture design and triangular surfacesChapter 18 - Literature on experimental design and discussion of some topics not covered in the text



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