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  1. Design and analysis of gauge R&R studies
    making decisions with confidence intervals in random and mixed ANOVA models
    Author: Burdick, Richard K; Borror, Connie M; Montgomery, Douglas C
    Published: [2005]
    Publisher:  siam, Society for Industrial and Applied Mathematics, Philadelphia, Pa.

    Location:
    Universitäts- und Landesbibliothek Münster, Zentralbibliothek
    Inter-library loan:
    No inter-library loan
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9780898718379
    Other identifier:
    RVK Categories: QH 236 ; SK 840
    Series: ASA-SIAM series on statistics and applied probability ; 17
    Subjects: Confidence intervals; Analysis of variance; Experimental design
    Scope: 1 Online-Ressource (xviii, 201 Seiten), Illustrationen
  2. Design and analysis of gauge R&R studies
    making decisions with confidence intervals in random and mixed ANOVA models
    Author: Burdick, Richard K.; Borror, Connie M.; Montgomery, Douglas C.
    Published: [2005]
    Publisher:  siam, Society for Industrial and Applied Mathematics, Philadelphia, Pa.

    Location:
    Universitäts- und Landesbibliothek Münster
    Inter-library loan:
    Unlimited inter-library loan, copies and loan
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9780898718379
    Other identifier:
    RVK Categories: QH 236 ; SK 840
    Series: ASA-SIAM series on statistics and applied probability ; 17
    Subjects: Confidence intervals; Analysis of variance; Experimental design; Wiederholung; Produktionsprozess; Konfidenzintervall; Messung; Bereichsschätzung; Varianzanalyse; Reproduzierbarkeit; Kovarianzanalyse; Versuchsplanung
    Scope: 1 Online-Ressource (xviii, 201 Seiten), Illustrationen
  3. Design and analysis of gauge R&R studies
    making decisions with confidence intervals in random and mixed ANOVA models
    Author: Burdick, Richard K.
    Published: 2005
    Publisher:  Society for Industrial and Applied Mathematics, Philadelphia, Pa.

    This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to... more

    Location:
    Technische Universität Chemnitz, Universitätsbibliothek
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    Technische Universität Hamburg, Universitätsbibliothek
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    Karlsruher Institut für Technologie, KIT-Bibliothek
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    Max-Planck-Institut für Dynamik Komplexer Technischer Systeme, Bibliothek
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    Universitätsbibliothek Mannheim
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    Universitätsbibliothek Mannheim
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    Mathematisches Forschungsinstitut Oberwolfach gGmbH, Bibliothek
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    eBook SIAM
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    Universitätsbibliothek Osnabrück
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    Universitätsbibliothek Rostock
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    Saarländische Universitäts- und Landesbibliothek
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    Universitätsbibliothek Stuttgart
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    Universität Ulm, Kommunikations- und Informationszentrum, Bibliotheksservices
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    This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model, and because it contains detailed examples of all computations, practitioners will be able to easily apply the methods. The book describes methods for constructing two types of confidence intervals: modified large-sample (MLS) and generalized confidence intervals. Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models

     
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    Content information
    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 0898715881; 9780898715880; 9780898718379
    Other identifier:
    RVK Categories: QH 236 ; SK 840
    Series: ASA-SIAM series on statistics and applied probability ; 17
    Subjects: Confidence intervals; Experimental design; Analysis of variance; Confidence intervals; Analysis of variance; Experimental design; Mixed model inference; Measurement systems analysis; Variance component analysis; Capability of measurement system; Linear models
    Scope: Online-Ressource (1 electronic text xviii, 201 p.)
    Notes:

    Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader

    Also available in print version.

    Includes bibliographical references (p. 193-197) and index

    Preface -- Chapter 1: Introduction -- Chapter 2: Balanced One-Factor Random Models -- Chapter 3: Balanced Two-Factor Crossed Random Models with Interaction -- Chapter 4: Design of Gauge R&R Experiments -- Chapter 5: Balanced Two-Factor Crossed Random Models with No Interaction -- Chapter 6: Balanced Two-Factor Crossed Mixed Models -- Chapter 7: Unbalanced One- and Two-Factor Models -- Chapter 8: Strategies for Constructing Intervals with ANOVA Models -- Appendix A: The Analysis of Variance -- Appendix B: MLS and GCI Methods -- Appendix C: Tables of F-values -- Bibliography -- Index.

    Introduction -- Chapter 2: Balanced One-Factor Random Models -- Chapter 3: Balanced Two-Factor Crossed Random Models with Interaction -- Chapter 4: Design of Gauge R&R Experiments -- Chapter 5: Balanced Two-Factor Crossed Random Models with No Interaction -- Chapter 6: Balanced Two-Factor Crossed Mixed Models -- Chapter 7: Unbalanced One- and Two-Factor Models -- Chapter 8: Strategies for Constructing Intervals with ANOVA Models -- Appendix A: The Analysis of Variance -- Appendix B: MLS and GCI Methods -- Appendix C: Tables of F-values -- Bibliography -- Index