Multivariate Statistical Methods In Quality Management
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| Author | : Kai Yang |
| Publisher | : |
| Total Pages | : 299 |
| Release | : 2004 |
| Genre | : Multivariate analysis |
| ISBN | : 9780071455671 |
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.
| Author | : Harald Martens |
| Publisher | : John Wiley & Sons |
| Total Pages | : 476 |
| Release | : 2001-02-08 |
| Genre | : Science |
| ISBN | : 9780471974284 |
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!
| Author | : Kai Yang |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 319 |
| Release | : 2004-02-25 |
| Genre | : Technology & Engineering |
| ISBN | : 0071432086 |
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
| Author | : Edgar Santos-Fernández |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 134 |
| Release | : 2012-09-22 |
| Genre | : Computers |
| ISBN | : 1461454530 |
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.
| Author | : Alan J. Izenman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 757 |
| Release | : 2009-03-02 |
| Genre | : Mathematics |
| ISBN | : 0387781897 |
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.
| Author | : Camil Fuchs |
| Publisher | : CRC Press |
| Total Pages | : 224 |
| Release | : 1998-04-22 |
| Genre | : Business & Economics |
| ISBN | : 148227373X |
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
| Author | : Ashis Sengupta |
| Publisher | : World Scientific |
| Total Pages | : 492 |
| Release | : 2009 |
| Genre | : Mathematics |
| ISBN | : 9812838236 |
Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session
| Author | : Carlo Lauro |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 247 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642487106 |
In the last decades, the production of goods and the offer of services have become quite complex activities mostly because of the markets globalisation, of the continuous push to the innovation and of the constant requests from more and more demanding markets. The main objective of a company system has become the achievement of the quality for the business management cycle. This cycle goes from the design (Plan) to the production (Do), from the control (Check) to the man agement (Action), as well as to the marketing and distribution. Nowadays, the Total Quality of the company system is evaluated, according to the ISO 9000 regulations, in terms of its capacity to adjust the design and the pro duction to the needs expressed (explicitly or implictly) by the final users of a product/service. In this process, the use of statistical techniques is essential not only in the classical approach of Quality Control of a product but also, and most importantly, in the Quality Design oriented to the satisfaction of customers. Thus, Total Quality refers to the global capacity of a company to fit its system to the real needs of its customers by designing products which are able to match the customers' taste and by implementing a statistical control of both the product and the Customer Satisfaction. In such a process of design and evaluation, several statistical variables are involved and with a different nature (numerical, categorical, ordinal).
| Author | : Ashis Sengupta |
| Publisher | : World Scientific |
| Total Pages | : 492 |
| Release | : 2009-06-23 |
| Genre | : Mathematics |
| ISBN | : 9814468835 |
This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc.Researchers, professionals and advanced graduates will find the book an essential resource for modern developments in theory as well as for innovative and emerging important applications in the area of multivariate statistical methods.
| Author | : Thomas P. Ryan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 578 |
| Release | : 2011-09-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1118058100 |
Praise for the Second Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." —Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.
