Statistical Methods for Quality Assurance
Springer-Verlag New York Inc.
978-0-387-79105-0 (ISBN)
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 theend-of-chapter problem sets, most from real engineering settings
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.
Introduction.- Statistics and Measurement.- Process Monitoring.- Process Characterization and Capability Analysis.- Experiment Design and Analysis for Process Improvement Part 1: Basics.- Experiment Design and Analysis for Process Improvement Part 2: Advanced Topics.- A Tables.
| Erscheinungsdatum | 09.06.2016 |
|---|---|
| Reihe/Serie | Springer Texts in Statistics |
| Zusatzinfo | 99 Illustrations, color; 5 Illustrations, black and white; XIV, 437 p. 104 illus., 99 illus. in color. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Naturwissenschaften | |
| Schlagworte | Statistica |
| ISBN-10 | 0-387-79105-1 / 0387791051 |
| ISBN-13 | 978-0-387-79105-0 / 9780387791050 |
| Zustand | Neuware |
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