Nonparametric Statistical Process Control: Bootstrap Control Charts
Title | Nonparametric Statistical Process Control: Bootstrap Control Charts PDF eBook |
Author | Tomi Tapani Sepp'al'a |
Publisher | |
Pages | 0 |
Release | 1999 |
Genre | |
ISBN |
Nonparametric Statistical Process Control
Title | Nonparametric Statistical Process Control PDF eBook |
Author | Subhabrata Chakraborti |
Publisher | John Wiley & Sons |
Pages | 448 |
Release | 2019-04-29 |
Genre | Mathematics |
ISBN | 1118456033 |
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.
Distribution-free Methods for Statistical Process Monitoring and Control
Title | Distribution-free Methods for Statistical Process Monitoring and Control PDF eBook |
Author | |
Publisher | |
Pages | 261 |
Release | 2020 |
Genre | Process control |
ISBN | 9783030250829 |
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
Title | Nonparametric Statistical Process Control PDF eBook |
Author | S. Chakraborti |
Publisher | |
Pages | 15 |
Release | 1999 |
Genre | |
ISBN |
Introduction to Statistical Process Control
Title | Introduction to Statistical Process Control PDF eBook |
Author | Peihua Qiu |
Publisher | CRC Press |
Pages | 520 |
Release | 2013-10-14 |
Genre | Business & Economics |
ISBN | 1482220415 |
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
Introduction to Statistical Process Control
Title | Introduction to Statistical Process Control PDF eBook |
Author | Muhammad Aslam |
Publisher | John Wiley & Sons |
Pages | 304 |
Release | 2020-08-19 |
Genre | Mathematics |
ISBN | 1119528445 |
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.
Distribution-Free Methods for Statistical Process Monitoring and Control
Title | Distribution-Free Methods for Statistical Process Monitoring and Control PDF eBook |
Author | Markos V. Koutras |
Publisher | Springer Nature |
Pages | 261 |
Release | 2020-03-19 |
Genre | Technology & Engineering |
ISBN | 3030250814 |
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.