Nonparametric Quality Control Techniques
Download Nonparametric Quality Control Techniques full books in PDF, epub, and Kindle. Read online free Nonparametric Quality Control Techniques ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Dr. Zombade Digambar Mahadev |
| Publisher | : Lulu.com |
| Total Pages | : 126 |
| Release | : 2019-11-28 |
| Genre | : Education |
| ISBN | : 0359910122 |
Statistical process control (SPC) refers to statistical methods used extensively to monitor and improve the quality and productivity of manufacturing processes and service operations. Nowadays, there is an increasing demand to implement SPC in production process for quality improvements. SPC tools are applied widely for monitoring various industrial manufacturing processes in which control charts are the most widely used to detect special causes of process variation that may result in lower-quality process output. Control charts are very important tools in SPC whose main objective is to improve the quality of processes so as to satisfy customer requirements. The practical application of control charts have now extended far beyond manufacturing industries to the nonmanufacturing industries such as health care, banking, insurance etc.
| Author | : Subhabrata Chakraborti |
| Publisher | : John Wiley & Sons |
| Total 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.
| Author | : Yiannis Dimotikalis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 306 |
| Release | : 2021-05-11 |
| Genre | : Business & Economics |
| ISBN | : 1786306735 |
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
| Author | : |
| Publisher | : |
| Total Pages | : 520 |
| Release | : 1965 |
| Genre | : Asphalt concrete |
| ISBN | : |
| Author | : Douglas C. Montgomery |
| Publisher | : Wiley Global Education |
| Total Pages | : 771 |
| Release | : 2019-11-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1119399297 |
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, and incorporation of Minitab statistics software, provides students with a solid base of conceptual and practical knowledge.
| Author | : Regina Y. Liu |
| Publisher | : American Mathematical Soc. |
| Total Pages | : 264 |
| Release | : 2006 |
| Genre | : Mathematics |
| ISBN | : 0821835963 |
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).
| Author | : Ian Scott |
| Publisher | : SAGE |
| Total Pages | : 252 |
| Release | : 2005-02-09 |
| Genre | : Mathematics |
| ISBN | : 9780761974765 |
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
| Author | : Peihua Qiu |
| Publisher | : CRC Press |
| Total 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
| Author | : |
| Publisher | : |
| Total Pages | : 268 |
| Release | : 1965 |
| Genre | : Asphalt concrete |
| ISBN | : |
| Author | : Sven Knoth |
| Publisher | : Springer |
| Total Pages | : 398 |
| Release | : 2015-04-24 |
| Genre | : Computers |
| ISBN | : 3319123556 |
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.
