Nonparametric Statistical Process Control

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Nonparametric Statistical Process Control

Author : Subhabrata Chakraborti
Publisher : John Wiley & Sons
ISBN 13 : 1118456033
Total Pages : 448 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Nonparametric Statistical Process Control by : Subhabrata Chakraborti

Download or read book Nonparametric Statistical Process Control written by Subhabrata Chakraborti and published by John Wiley & Sons. This book was released on 2019-04-29 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique approach to understanding the foundations of statistical quality control with a focus on the latest developments in nonparametric control charting methodologies Statistical Process Control (SPC) methods have a long and successful history and have revolutionized many facets of industrial production around the world. This book addresses recent developments in statistical process control bringing the modern use of computers and simulations along with theory within the reach of both the researchers and practitioners. The emphasis is on the burgeoning field of nonparametric SPC (NSPC) and the many new methodologies developed by researchers worldwide that are revolutionizing SPC. Over the last several years research in SPC, particularly on control charts, has seen phenomenal growth. Control charts are no longer confined to manufacturing and are now applied for process control and monitoring in a wide array of applications, from education, to environmental monitoring, to disease mapping, to crime prevention. This book addresses quality control methodology, especially control charts, from a statistician’s viewpoint, striking a careful balance between theory and practice. Although the focus is on the newer nonparametric control charts, the reader is first introduced to the main classes of the parametric control charts and the associated theory, so that the proper foundational background can be laid. Reviews basic SPC theory and terminology, the different types of control charts, control chart design, sample size, sampling frequency, control limits, and more Focuses on the distribution-free (nonparametric) charts for the cases in which the underlying process distribution is unknown Provides guidance on control chart selection, choosing control limits and other quality related matters, along with all relevant formulas and tables Uses computer simulations and graphics to illustrate concepts and explore the latest research in SPC Offering a uniquely balanced presentation of both theory and practice, Nonparametric Methods for Statistical Quality Control is a vital resource for students, interested practitioners, researchers, and anyone with an appropriate background in statistics interested in learning about the foundations of SPC and latest developments in NSPC.

Nonparametric Statistical Process Control

Author : S. Chakraborti
Publisher :
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4.:/5 (247 download)

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Book Synopsis Nonparametric Statistical Process Control by : S. Chakraborti

Download or read book Nonparametric Statistical Process Control written by S. Chakraborti and published by . This book was released on 1999 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distribution-Free Methods for Statistical Process Monitoring and Control

Author : Markos V. Koutras
Publisher : Springer Nature
ISBN 13 : 3030250814
Total Pages : 261 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Distribution-Free Methods for Statistical Process Monitoring and Control by : Markos V. Koutras

Download or read book Distribution-Free Methods for Statistical Process Monitoring and Control written by Markos V. Koutras and published by Springer Nature. This book was released on 2020-03-19 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free control charts designed for Phase I applications. Moreover, it introduces six distribution-free EWMA schemes for simultaneously monitoring the location and scale parameters of a univariate continuous process, and establishes two nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules. Lastly, the book proposes novel and effective method for early disease detection.

Introduction to Statistical Process Control

Author : Peihua Qiu
Publisher : CRC Press
ISBN 13 : 1482220415
Total Pages : 520 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Introduction to Statistical Process Control by : Peihua Qiu

Download or read book Introduction to Statistical Process Control written by Peihua Qiu and published by CRC Press. This book was released on 2013-10-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon

Distribution-free Methods for Statistical Process Monitoring and Control

Author :
Publisher :
ISBN 13 : 9783030250829
Total Pages : 261 pages
Book Rating : 4.2/5 (58 download)

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Book Synopsis Distribution-free Methods for Statistical Process Monitoring and Control by :

Download or read book Distribution-free Methods for Statistical Process Monitoring and Control written by and published by . This book was released on 2020 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free control charts designed for Phase I applications. Moreover, it introduces six distribution-free EWMA schemes for simultaneously monitoring the location and scale parameters of a univariate continuous process, and establishes two nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules. Lastly, the book proposes novel and effective method for early disease detection.

Nonparametric Statistical Process Control

Author : Roxana Alice Ion
Publisher :
ISBN 13 : 9789057760761
Total Pages : 109 pages
Book Rating : 4.7/5 (67 download)

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Book Synopsis Nonparametric Statistical Process Control by : Roxana Alice Ion

Download or read book Nonparametric Statistical Process Control written by Roxana Alice Ion and published by . This book was released on 2001 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonparametric Statistical Process Control: Bootstrap Control Charts

Author : Tomi Tapani Sepp'al'a
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Nonparametric Statistical Process Control: Bootstrap Control Charts by : Tomi Tapani Sepp'al'a

Download or read book Nonparametric Statistical Process Control: Bootstrap Control Charts written by Tomi Tapani Sepp'al'a and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Statistical Process Control

Author : Muhammad Aslam
Publisher : John Wiley & Sons
ISBN 13 : 1119528453
Total Pages : 288 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Introduction to Statistical Process Control by : Muhammad Aslam

Download or read book Introduction to Statistical Process Control written by Muhammad Aslam and published by John Wiley & Sons. This book was released on 2020-09-16 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to the Fundamentals and History of Control Charts, Applications, and Guidelines for Implementation Introduction to Statistical Process Control examines various types of control charts that are typically used by engineering students and practitioners. This book helps readers develop a better understanding of the history, implementation, and use-cases. Students are presented with varying control chart techniques, information, and roadmaps to ensure their control charts are operating efficiently and producing specification-confirming products. This is the essential text on the theories and applications behind statistical methods and control procedures. This eight-chapter reference breaks information down into digestible sections and covers topics including: ● An introduction to the basics as well as a background of control charts ● Widely used and newly researched attributes of control charts, including guidelines for implementation ● The process capability index for both normal and non-normal distribution via the sampling of multiple dependent states ● An overview of attribute control charts based on memory statistics ● The development of control charts using EQMA statistics For a solid understanding of control methodologies and the basics of quality assurance, Introduction to Statistical Process Control is a definitive reference designed to be read by practitioners and students alike. It is an essential textbook for those who want to explore quality control and systems design.

Nonparametric Statistical Process Control

Author : Subhabrata Chakraborti
Publisher :
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4.:/5 (678 download)

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Book Synopsis Nonparametric Statistical Process Control by : Subhabrata Chakraborti

Download or read book Nonparametric Statistical Process Control written by Subhabrata Chakraborti and published by . This book was released on 1999 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Statistical Process Control with Industrial Applications

Author : Robert L. Mason
Publisher : SIAM
ISBN 13 : 0898714966
Total Pages : 271 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Multivariate Statistical Process Control with Industrial Applications by : Robert L. Mason

Download or read book Multivariate Statistical Process Control with Industrial Applications written by Robert L. Mason and published by SIAM. This book was released on 2002-01-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Provides valuable insight into the T2 statistic.

Image Processing and Jump Regression Analysis

Author : Peihua Qiu
Publisher : John Wiley & Sons
ISBN 13 : 0471733164
Total Pages : 344 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Image Processing and Jump Regression Analysis by : Peihua Qiu

Download or read book Image Processing and Jump Regression Analysis written by Peihua Qiu and published by John Wiley & Sons. This book was released on 2005-05-20 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first text to bridge the gap between image processing andjump regression analysis Recent statistical tools developed to estimate jump curves andsurfaces have broad applications, specifically in the area of imageprocessing. Often, significant differences in technicalterminologies make communication between the disciplines of imageprocessing and jump regression analysis difficult. Ineasy-to-understand language, Image Processing and JumpRegression Analysis builds a bridge between the worlds ofcomputer graphics and statistics by addressing both the connectionsand the differences between these two disciplines. The authorprovides a systematic analysis of the methodology behindnonparametric jump regression analysis by outlining procedures thatare easy to use, simple to compute, and have proven statisticaltheory behind them. Key topics include: Conventional smoothing procedures Estimation of jump regression curves Estimation of jump location curves of regression surfaces Jump-preserving surface reconstruction based on localsmoothing Edge detection in image processing Edge-preserving image restoration With mathematical proofs kept to a minimum, this book isuniquely accessible to a broad readership. It may be used as aprimary text in nonparametric regression analysis and imageprocessing as well as a reference guide for academicians andindustry professionals focused on image processing or curve/surfaceestimation.

Introduction to Statistical Quality Control

Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
ISBN 13 : 1119657113
Total Pages : 773 pages
Book Rating : 4.1/5 (196 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."--

Data Depth

Author : Regina Y. Liu
Publisher : American Mathematical Soc.
ISBN 13 : 0821835963
Total Pages : 264 pages
Book Rating : 4.8/5 (218 download)

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Book Synopsis Data Depth by : Regina Y. Liu

Download or read book Data Depth written by Regina Y. Liu and published by American Mathematical Soc.. This book was released on 2006 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of some of the research presented at the workshop of the same name held in May 2003 at Rutgers University. The workshop brought together researchers from two different communities: statisticians and specialists in computational geometry. The main idea unifying these two research areas turned out to be the notion of data depth, which is an important notion both in statistics and in the study of efficiency of algorithms used in computational geometry. Many of the articles in the book lay down the foundations for further collaboration and interdisciplinary research. Information for our distributors: Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).

Nonparametric Statistical Inference

Author : Jean Dickinson Gibbons
Publisher : CRC Press
ISBN 13 : 1439896127
Total Pages : 652 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Nonparametric Statistical Inference by : Jean Dickinson Gibbons

Download or read book Nonparametric Statistical Inference written by Jean Dickinson Gibbons and published by CRC Press. This book was released on 2010-07-26 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. New to the Fifth Edition Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems. Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures. It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format. Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech.

Statistical Process Control For Quality Improvement- Hardcover Version

Author : J. Koronacki
Publisher : CRC Press
ISBN 13 : 1420035541
Total Pages : 455 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Statistical Process Control For Quality Improvement- Hardcover Version by : J. Koronacki

Download or read book Statistical Process Control For Quality Improvement- Hardcover Version written by J. Koronacki and published by CRC Press. This book was released on 2001-12-26 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is roote

Sequential Procedures for Nonparametric Statistical Process Control and Longitudinal Data Classification

Author : Xin Zhang
Publisher :
ISBN 13 : 9781303860249
Total Pages : 143 pages
Book Rating : 4.8/5 (62 download)

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Book Synopsis Sequential Procedures for Nonparametric Statistical Process Control and Longitudinal Data Classification by : Xin Zhang

Download or read book Sequential Procedures for Nonparametric Statistical Process Control and Longitudinal Data Classification written by Xin Zhang and published by . This book was released on 2014 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Second, on the fundation of the above nonparameric multivariate CUSUM control charts, a nonparametric SPC procedure for correlated data is proposed. We incorporate wavelet decomposition with Box and Jenkins time series models and the above multivariate CUSUM control chart to obtain a procedure that is robust under correlated processes without distributional assumption. The procedure is also shown to be powerful in detecting location shift through extensive simulation studies.

Empirical Likelihood

Author : Art B. Owen
Publisher : CRC Press
ISBN 13 : 1420036157
Total Pages : 322 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Empirical Likelihood by : Art B. Owen

Download or read book Empirical Likelihood written by Art B. Owen and published by CRC Press. This book was released on 2001-05-18 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al