Orthogonal Arrays: Theory and Applications (Springer Series in Statistics) - Hardcover
Buch 44 von 160: Springer Series in Statistics
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Orthogonal arrays have played a vital role in improving the quality of products manufactured throughout the world. This first book on the subject since its introduction more than fifty years ago serves as a key resource to this area of designing experiments. Most of the arrays obtained by the methods in this book are available electronically. Anyone running experiments - whether in a chemistry lab or a manufacturing plant, or in agricultural or medical research - will find this book useful.
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Orthogonal Arrays: Theory and Applications (Springer Series in Statistics)
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Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned. Artikel-Nr. wbs3884836817
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Orthogonal Arrays : Theory and Applications
Verlag:
Springer New York, Springer New York, 1999
ISBN 10: 0387987665
ISBN 13: 9780387987668
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first book on the subject since its introduction more than fifty years ago, and it can be used as a graduate text or as a reference work. It features all of the key results, many very useful tables, and a large number of research problems. The book will be of interest to those interested in one of the most fascinating areas of discrete mathematics, connected to statistics and coding theory, with applications to computer science and cryptography. It will be useful for anyone who is running experiments, whether in a chemistry lab or a manufacturing plant (trying to make those alloys stronger), or in agricultural or medical research. Sam Hedayat is Professor of Statistics and Senior Scholar in the Department of Mathematics, Statistics, and Computer Science, University of Illinois, Chicago. Neil J.A. Sloane is with AT&T Bell Labs (now AT&T Labs). John Stufken is Professor Statistics at Iowa State University. Artikel-Nr. 9780387987668
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