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Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement (Springer Texts in Statistics)

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Description:This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered.Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding.Second Edition ImprovementsExtensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies)New end-of-section exercises and revised-end-of-chapter exercisesTwo full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors' lecturesSubstantial supporting materialSupporting MaterialSeven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analysesDocumentation for the R programsExcel data files associated with the end-of-chapter problem sets, most from real engineering settingsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement (Springer Texts in Statistics). To get started finding Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement (Springer Texts in Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 038779106X

Description: This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered.Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding.Second Edition ImprovementsExtensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies)New end-of-section exercises and revised-end-of-chapter exercisesTwo full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors' lecturesSubstantial supporting materialSupporting MaterialSeven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analysesDocumentation for the R programsExcel data files associated with the end-of-chapter problem sets, most from real engineering settingsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement (Springer Texts in Statistics). To get started finding Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement (Springer Texts in Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement (Springer Texts in Statistics)

Statistical Methods for Quality Assurance: Basics, Measurement, Control, Capability, and Improvement (Springer Texts in Statistics)

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