{"product_id":"statistical-control-by-monitoring-and-adjustment-9780470148327","title":"Statistical Control by Monitoring and Adjustment","description":"\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"This book . . . is a significant addition to the literature on statistical practice . . . should be of considerable interest to those interested in these topics.\"\u003cbr\u003e--\u003ci\u003e\u003cb\u003eInternational Journal of Forecasting\u003c\/b\u003e\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eRecent 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. \u003ci\u003eStatistical Control by Monitoring and Adjustment\u003c\/i\u003e, Second Edition presents the relationship among these concepts and elementary ideas from Engineering Process Control (EPC), demonstrating how the powerful synergistic association between SPC and EPC can solve numerous problems that are frequently encountered in process monitoring and adjustment.\u003c\/p\u003e \u003cp\u003eThe book begins with a discussion of SPC as it was originally conceived by Dr. Walter A. Shewhart and Dr. W. Edwards Deming. Subsequent chapters outline the basics of the new integration of SPC and EPC, which is not available in other related books. Thorough coverage of time series analysis for forecasting, process dynamics, and non-stationary models is also provided, and these sections have been carefully written so as to require only an elementary understanding of mathematics. Extensive graphical explanations and computational tables accompany the numerous examples that are provided throughout each chapter, and a helpful selection of problems and solutions further facilitates understanding.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eStatistical Control by Monitoring and Adjustment\u003c\/i\u003e, Second Edition is an excellent book for courses on applied statistics and industrial engineering at the upper-undergraduate and graduate levels. It also serves as a valuable reference for statisticians and quality control practitioners working in industry.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e George E. P. Box,Alberto Luceño,Maria Del Carmen Paniagua-Quinones\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/01\/2009\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 368\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.10lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.10h x 6.10w x 0.80d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780470148327\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGEORGE E. P. BOX, PHD, \u003c\/b\u003e 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 \u003ci\u003eStatistics 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;\u003c\/i\u003e and\u003ci\u003e Bayesian Interface and Statistical Analyses\u003c\/i\u003e, all published by Wiley. \u003cb\u003eALBERTO LUCEÑO, PHD, \u003c\/b\u003e is Professor in the ETS de Ingenieros de Caminos at the University of Cantabria, Spain. He is an Associate Editor of the \u003ci\u003eJournal of Quality Technology\u003c\/i\u003e and \u003ci\u003eStatistical Modelling: An International Journal\u003c\/i\u003e. \u003cb\u003eMARÍA DEL CARMEN PANIAGUA-QUIÑONES, PHD, \u003c\/b\u003e 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.\u003cbr\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Paperback","offer_id":44125834870899,"sku":"9.78047E+12","price":226.34,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_e9d0e953-524a-4e6b-b293-65fa6ac9204e.jpg?v=1764766649","url":"https:\/\/bookstorenmore.com\/products\/statistical-control-by-monitoring-and-adjustment-9780470148327","provider":"Bookstore N More","version":"1.0","type":"link"}