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George E. P. Box

Statistical Control by Monitoring and Adjustment

Buch

Praise for the First EditionThis book . . . is a significant addition to the literature on statistical practice . . . should be of considerable interest to those interested in these topics.--International Journal of ForecastingRecent research has shown that monitoring techniques alone are inadequate for modern Statistical Process Control (SPC), and there exists a need for these techniques to be augmented by methods that indicate when occasional process adjustment is necessary. Statistical Control by Monitoring and Adjustment, Second Edition presents the relationship among these concepts and elementary ideas from Engineering Process Control (E… Mehr

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Produktdetails


Weitere Autoren: Luceño, Alberto / Paniagua-Quinones, Maria del Carmen
  • ISBN: 978-0-470-14832-7
  • EAN: 9780470148327
  • Produktnummer: 4430254
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2009
  • Seitenangabe: 360 S.
  • Masse: H23.7 cm x B15.8 cm x D1.6 cm 489 g
  • Auflage: 2. A.
  • Gewicht: 489

Über den Autor


George E. P. Box, PhD, is Ronald Aylmer Fisher Professor Emeritus of Statistics and Industrial Engineering at the University of Wisconsin-Madison. He is a Fellow of the Royal Society of London and the American Academy of Arts and Sciences. He is an honorary Fellow and Shewart and Deming Medalist of the American Society for Quality and an honorary member of the International Statistical Institute. He is also the recipient of the Samuel S. Wilks Memorial Medal of the American Statistical Association and the Guy Medal in Gold of the Royal Statistical Society. Dr. Box is the coauthor of Statistics for Experimenters: Design, Innovation, and Discovery, Second Edition; Response Surfaces, Mixtures, and Ridge Analyses, Second Edition; Evolutionary Operation: A Statistical Method for Process Improvements; Improving Almost Anything: Ideas and Essays, Revised Edition; Time Series Analysis: Forecasting and Control, Fourth Edition; and Bayesian Interface and Statistical Analyses, all published by Wiley. Alberto Luceño, PhD, is Professor in the ETS de Ingenieros de Caminos at the University of Cantabria, Spain. He is an Associate Editor of the Journal of Quality Technology and Statistical Modelling: An International Journal. María del Carmen Paniagua-Quiñones, PhD, is Visiting Assistant Professor in the School of Industrial Engineering at Purdue University. Her research interests include experimental design, quality productivity, and engineering management and control process improvement. She was the recipient of the Brumbaugh Award of the American Society for Quality for Best Technical Paper in 2007.

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