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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 416 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.
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Language: English
Published by Springer-Verlag New York Inc, 2015
ISBN 10: 3319123548 ISBN 13: 9783319123547
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2015 edition. 450 pages. 9.30x6.20x1.10 inches. In Stock.
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Published by Springer International Publishing, 2015
ISBN 10: 3319123548 ISBN 13: 9783319123547
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments. The majority of the papers deal with statistical process control, while acceptance sampling and design of experiments are also treated to a lesser extent.The book is organized into four thematic parts, with Part I addressing statistical process control. Part II is devoted to acceptance sampling. Part III covers the design of experiments, while Part IV discusses related fields.The twenty-three papers in this volume stem from The 11th International Workshop on Intelligent Statistical Quality Control, which was held in Sydney, Australia from August 20 to August 23, 2013. The event was hosted by Professor Ross Sparks, CSIRO Mathematics, Informatics and Statistics, North Ryde, Australia and was jointly organized by Professors S. Knoth, W. Schmid and Ross Sparks. The papers presented here were carefully selected and reviewed by the scientific program committee, before being revised and adapted for this volume.
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Seller: Buchpark, Trebbin, Germany
Condition: Gut. Zustand: Gut | Seiten: 424 | Sprache: Englisch | Produktart: Bücher | This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality.The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.
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Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032029740 ISBN 13: 9783032029744
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This book examines major areas of statistical quality control, with a focus on sharing insights into important new developments in the field and adapting established statistical quality control methods for use in various fields of application, including business, finance, environmental science, engineering and health. It is divided into two parts, the first addressing statistical process monitoring and the second exploring selected topics in statistical quality control, including the design of experiments and data quality.Compiling peer-reviewed contributions originally presented at the 14th International Workshop on Intelligent Statistical Quality Control, ISQC 2023, held in Washington, DC, USA, on August 15-17, 2023, the book bridges the gap between theory and practice, making it of interest to both researchers and practitioners in the field of statistical quality control. mso-ansi-language: EN-US;">This book examines major areas of statistical quality control, with a focus on sharing insights into important new developments in the field and adapting established statistical quality control methods for use in various fields of application, including business, finance, environmental science, engineering and health. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality. The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 ż 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conferenceżs scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Frontiers in Statistical Quality Control 13 | Sven Knoth (u. a.) | Taschenbuch | Frontiers in Statistical Quality Control | xvi | Englisch | 2022 | Springer | EAN 9783030678586 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 303067858X ISBN 13: 9783030678586
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality.The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.