Multivariate Statistical Methods in Quality Management

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Publisher : McGraw Hill Professional
ISBN 13 : 0071501371
Total Pages : 318 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Multivariate Statistical Methods in Quality Management by : Kai Yang

Download or read book Multivariate Statistical Methods in Quality Management written by Kai Yang and published by McGraw Hill Professional. This book was released on 2004-03-17 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods

Multivariate Analysis of Quality

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Publisher : John Wiley & Sons
ISBN 13 : 9780471974284
Total Pages : 476 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Multivariate Analysis of Quality by : Harald Martens

Download or read book Multivariate Analysis of Quality written by Harald Martens and published by John Wiley & Sons. This book was released on 2001-02-08 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Die Datenanalyse mit mehreren Variablen gehört zum Alltag der Chemometrie. Die Autoren sind ausgezeichnete Spezialisten auf dem Gebiet der multivariaten Analyse. Sie geben hier in saloppem Stil und aufgelockert durch zahlreiche witzige Cartoons eine verständliche Einführung in dieses Thema. Erläutert werden eine Reihe von Anwendungen bei der Qualitätskontrolle, insbesondere in der Nahrungsmittelindustrie. Mit zahlreichen Kontrollfragen und Übungsaufgaben!

Multivariate Statistical Quality Control Using R

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Publisher : Springer Science & Business Media
ISBN 13 : 1461454522
Total Pages : 134 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Multivariate Statistical Quality Control Using R by : Edgar Santos-Fernández

Download or read book Multivariate Statistical Quality Control Using R written by Edgar Santos-Fernández and published by Springer Science & Business Media. This book was released on 2012-09-22 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.

Modern Multivariate Statistical Techniques

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Publisher : Springer Science & Business Media
ISBN 13 : 0387781897
Total Pages : 757 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Modern Multivariate Statistical Techniques by : Alan J. Izenman

Download or read book Modern Multivariate Statistical Techniques written by Alan J. Izenman and published by Springer Science & Business Media. This book was released on 2009-03-02 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on multivariate analysis to look at large data sets which describes the state of the art in analyzing such data. Material such as database management systems is included that has never appeared in statistics books before.

Introduction to Statistical Quality Control

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Publisher : Wiley
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Introduction to Statistical Quality Control by : Christina M. Mastrangelo

Download or read book Introduction to Statistical Quality Control written by Christina M. Mastrangelo and published by Wiley. This book was released on 1991 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.

Multivariate Quality Control

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Publisher : CRC Press
ISBN 13 : 148227373X
Total Pages : 224 pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Multivariate Quality Control by : Camil Fuchs

Download or read book Multivariate Quality Control written by Camil Fuchs and published by CRC Press. This book was released on 1998-04-22 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlightin

Multivariate Statistical Modeling in Engineering and Management

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Publisher : CRC Press
ISBN 13 : 1000618420
Total Pages : 421 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Multivariate Statistical Modeling in Engineering and Management by : Jhareswar Maiti

Download or read book Multivariate Statistical Modeling in Engineering and Management written by Jhareswar Maiti and published by CRC Press. This book was released on 2022-10-25 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution. Key features: Links data generation process with statistical distributions in multivariate domain Provides step by step procedure for estimating parameters of developed models Provides blueprint for data driven decision making Includes practical examples and case studies relevant for intended audiences The book will help everyone involved in data driven problem solving, modeling and decision making.

Applied Statistics in Agricultural, Biological, and Environmental Sciences

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Publisher : John Wiley & Sons
ISBN 13 : 0891183590
Total Pages : 672 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Applied Statistics in Agricultural, Biological, and Environmental Sciences by : Barry Glaz

Download or read book Applied Statistics in Agricultural, Biological, and Environmental Sciences written by Barry Glaz and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Advances in Multivariate Statistical Methods

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Publisher : World Scientific
ISBN 13 : 9812838236
Total Pages : 492 pages
Book Rating : 4.30/5 ( download)

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Book Synopsis Advances in Multivariate Statistical Methods by : Ashis Sengupta

Download or read book Advances in Multivariate Statistical Methods written by Ashis Sengupta and published by World Scientific. This book was released on 2009 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session

Introduction to Statistical Quality Control

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Publisher : John Wiley & Sons
ISBN 13 : 1119657113
Total Pages : 773 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Introduction to Statistical Quality Control by : Douglas C. Montgomery

Download or read book Introduction to Statistical Quality Control written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2019-12-30 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--