Springer Texts in Statistics

Statistical Methods for Quality Assurance

Basics, Measurement, Control, Capability, and Improvement

Authors: Vardeman, Stephen B., Jobe, J. Marcus

  • Concise presentation
  • Emphasis on measurement issues critical to quality assurance
  • Coverage that gives insight to correct implementation of quality improvement methods
  • Online access to robust supporting materials, including R code for examples in the text and two sets of slides: one full set for lecture presentation and another with audio from a long-running and highly successful junior-level university course     
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Buy this book

eBook $59.99
price for USA (gross)
  • ISBN 978-0-387-79106-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA
  • ISBN 978-0-387-79105-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

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 Improvements
  • Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies)
  • New end-of-section exercises and revised-end-of-chapter exercises
  • Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures
  • Substantial supporting material

Supporting Material
  • Seven 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 analyses
  • Documentation for the R programs
  • Excel data files associated with the end-of-chapter problem sets, most from real engineering settings

About the authors

Stephen Vardeman is Professor of Statistics and Industrial Engineering at Iowa State University. He is a Fellow of the American Statistical Association and an (elected) Ordinary Member of the International Statistical Institute. His interests include physical science and engineering applications of statistics, statistics and metrology, quality assurance, business applications of statistics, modern ("big") data analytics, statistical machine learning, directional data analysis, reliability, statistics education, and the development of new statistical theory and methods. He has published textbooks in both quality assurance and engineering statistics and recently developed effective new graduate-level coursework in modern statistical machine learning.  

J. Marcus Jobe is Professor of Information Systems and Analytics in the Farmer School of Business at Miami University (Ohio). His current research interests focus on measurement quality, multivariate process monitoring, pattern recognition, and oil exploration applications. Professor Jobe has taught and conducted research in Ukraine, and he has won numerous teaching awards at Miami University, including the all-university Outstanding Teaching award and the Richard T. Farmer Teaching Excellence award for senior professors in the school of business. The U.S. Dept. of State twice awarded him the Senior Fulbright Scholar award (1996-1997 and 2005-2006). Marcus Jobe also works as a consultant and has co-authored two statistics texts with Stephen Vardeman.

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Table of contents (6 chapters)

  • Introduction

    Vardeman, Stephen B. (et al.)

    Pages 1-31

  • Statistics and Measurement

    Vardeman, Stephen B. (et al.)

    Pages 33-105

  • Process Monitoring

    Vardeman, Stephen B. (et al.)

    Pages 107-189

  • Process Characterization and Capability Analysis

    Vardeman, Stephen B. (et al.)

    Pages 191-250

  • Experimental Design and Analysis for Process Improvement Part 1: Basics

    Vardeman, Stephen B. (et al.)

    Pages 251-331

Buy this book

eBook $59.99
price for USA (gross)
  • ISBN 978-0-387-79106-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $79.99
price for USA
  • ISBN 978-0-387-79105-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Methods for Quality Assurance
Book Subtitle
Basics, Measurement, Control, Capability, and Improvement
Authors
Series Title
Springer Texts in Statistics
Copyright
2016
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-0-387-79106-7
DOI
10.1007/978-0-387-79106-7
Softcover ISBN
978-0-387-79105-0
Series ISSN
1431-875X
Edition Number
2
Number of Pages
XIV, 437
Number of Illustrations and Tables
5 b/w illustrations, 99 illustrations in colour
Topics