Statistical Analysis Of Profile Monitoring

Download Statistical Analysis Of Profile Monitoring full books in PDF, epub, and Kindle. Read online Statistical Analysis Of Profile Monitoring ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Statistical Analysis of Profile Monitoring

Author : Rassoul Noorossana
Publisher : John Wiley & Sons
ISBN 13 : 1118071972
Total Pages : 298 pages
Book Rating : 4.1/5 (18 download)

DOWNLOAD NOW!

Book Synopsis Statistical Analysis of Profile Monitoring by : Rassoul Noorossana

Download or read book Statistical Analysis of Profile Monitoring written by Rassoul Noorossana and published by John Wiley & Sons. This book was released on 2011-09-09 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-of-a-kind presentation of the major achievements in statistical profile monitoring methods Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings. Comprised of contributions from renowned academicians and practitioners in the field, Statistical Analysis of Profile Monitoring presents the latest state-of-the-art research on the use of control charts to monitor process and product quality profiles. The book presents comprehensive coverage of profile monitoring definitions, techniques, models, and application examples, particularly in various areas of engineering and statistics. The book begins with an introduction to the concept of profile monitoring and its applications in practice. Subsequent chapters explore the fundamental concepts, methods, and issues related to statistical profile monitoring, with topics of coverage including: Simple and multiple linear profiles Binary response profiles Parametric and nonparametric nonlinear profiles Multivariate linear profiles monitoring Statistical process control for geometric specifications Correlation and autocorrelation in profiles Nonparametric profile monitoring Throughout the book, more than two dozen real-world case studies highlight the discussed topics along with innovative examples and applications of profile monitoring. Statistical Analysis of Profile Monitoring is an excellent book for courses on statistical quality control at the graduate level. It also serves as a valuable reference for quality engineers, researchers and anyone who works in monitoring and improving statistical processes.

Multimodal and Tensor Data Analytics for Industrial Systems Improvement

Author : Nathan Gaw
Publisher : Springer Nature
ISBN 13 : 3031530926
Total Pages : 388 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Multimodal and Tensor Data Analytics for Industrial Systems Improvement by : Nathan Gaw

Download or read book Multimodal and Tensor Data Analytics for Industrial Systems Improvement written by Nathan Gaw and published by Springer Nature. This book was released on with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Methods for Healthcare Performance Monitoring

Author : Alex Bottle
Publisher : CRC Press
ISBN 13 : 1482246104
Total Pages : 292 pages
Book Rating : 4.4/5 (822 download)

DOWNLOAD NOW!

Book Synopsis Statistical Methods for Healthcare Performance Monitoring by : Alex Bottle

Download or read book Statistical Methods for Healthcare Performance Monitoring written by Alex Bottle and published by CRC Press. This book was released on 2016-08-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.

Statistical Design, Monitoring, and Analysis of Clinical Trials

Author : Weichung Joe Shih
Publisher : CRC Press
ISBN 13 : 1000462757
Total Pages : 405 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Statistical Design, Monitoring, and Analysis of Clinical Trials by : Weichung Joe Shih

Download or read book Statistical Design, Monitoring, and Analysis of Clinical Trials written by Weichung Joe Shih and published by CRC Press. This book was released on 2021-10-25 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students, residents, and fellows during the past 20 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, phase 2/3 seamless design and trials with predictive biomarkers, exploit multiple testing procedures, and explain the concept of estimand, intercurrent events, and different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics, epidemiology, medicine, pharmacy, and public health.

Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches

Author : Antonio Lepore
Publisher : Springer Nature
ISBN 13 : 3031124022
Total Pages : 130 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches by : Antonio Lepore

Download or read book Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches written by Antonio Lepore and published by Springer Nature. This book was released on 2022-10-19 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and industry. Different views in the context of Industry 4.0 are offered in connection with the concepts of explainability of machine learning tools, generalizability of model outputs and sensitivity analysis. Moreover, the book explores the integration of Artificial Intelligence and robust analysis of variance for big data mining and monitoring in Additive Manufacturing, and sheds new light on interpretability via random forests and flexible generalized additive models together with related software resources and real-world examples.

Functional Statistics

Author : Javier Martínez Torres
Publisher : MDPI
ISBN 13 : 3039439634
Total Pages : 148 pages
Book Rating : 4.0/5 (394 download)

DOWNLOAD NOW!

Book Synopsis Functional Statistics by : Javier Martínez Torres

Download or read book Functional Statistics written by Javier Martínez Torres and published by MDPI. This book was released on 2020-12-23 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Functional analysis, the branch that lies between mathematical analysis and statistics, has many applications in the field of engineering and processes. Thus, this book presents several applications carried out from this perspective, as well as various works of a theoretical nature that take a further step so that researchers can use these models with high precision.

Nonparametric Statistical Methods

Author : Myles Hollander
Publisher : John Wiley & Sons
ISBN 13 : 1118553292
Total Pages : 872 pages
Book Rating : 4.1/5 (185 download)

DOWNLOAD NOW!

Book Synopsis Nonparametric Statistical Methods by : Myles Hollander

Download or read book Nonparametric Statistical Methods written by Myles Hollander and published by John Wiley & Sons. This book was released on 2013-11-25 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.

Introduction to Statistical Process Control

Author : Peihua Qiu
Publisher : CRC Press
ISBN 13 : 1439847991
Total Pages : 523 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

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 523 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 the more established techniques. The author—a leading researcher on SPC—shows how these methods can handle new applications. After exploring the role of SPC and other statistical methods in quality control and management, the book covers basic statistical concepts and methods useful in SPC. It then systematically describes traditional SPC charts, including the Shewhart, CUSUM, and EWMA charts, as well as recent control charts based on change-point detection and fundamental multivariate SPC charts under the normality assumption. The text also introduces novel univariate and multivariate control charts for cases when the normality assumption is invalid and discusses control charts for profile monitoring. All computations in the examples are solved using R, with R functions and datasets available for download on the author’s website. Offering a systematic description of both traditional and newer SPC methods, this book is ideal as a primary textbook for a one-semester course in disciplines concerned with process quality control, such as statistics, industrial and systems engineering, and management sciences. It can also be used as a supplemental textbook for courses on quality improvement and system management. In addition, the book provides researchers with many useful, recent research results on SPC and gives quality control practitioners helpful guidelines on implementing up-to-date SPC techniques.

Frontiers in Statistical Quality Control 11

Author : Sven Knoth
Publisher : Springer
ISBN 13 : 3319123556
Total Pages : 398 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Frontiers in Statistical Quality Control 11 by : Sven Knoth

Download or read book Frontiers in Statistical Quality Control 11 written by Sven Knoth and published by Springer. This book was released on 2015-04-24 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Challenges in Computational Statistics and Data Mining

Author : Stan Matwin
Publisher : Springer
ISBN 13 : 3319187813
Total Pages : 404 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Challenges in Computational Statistics and Data Mining by : Stan Matwin

Download or read book Challenges in Computational Statistics and Data Mining written by Stan Matwin and published by Springer. This book was released on 2015-07-07 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.

Industrial Engineering in the Industry 4.0 Era

Author : Fethi Calisir
Publisher : Springer
ISBN 13 : 331971225X
Total Pages : 276 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Industrial Engineering in the Industry 4.0 Era by : Fethi Calisir

Download or read book Industrial Engineering in the Industry 4.0 Era written by Fethi Calisir and published by Springer. This book was released on 2017-12-28 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Vienna on July 20-21, 2017. They offer a snapshot of the current state of the art in three main related fields of research, namely industrial engineering, engineering and technology management, and healthcare systems engineering management. The book is intended to integrate theory and practice and to merge different perspectives, from the academic to the industrial and governmental one.

Six Sigma for Organizational Excellence

Author : K. Muralidharan
Publisher : Springer
ISBN 13 : 813222325X
Total Pages : 637 pages
Book Rating : 4.1/5 (322 download)

DOWNLOAD NOW!

Book Synopsis Six Sigma for Organizational Excellence by : K. Muralidharan

Download or read book Six Sigma for Organizational Excellence written by K. Muralidharan and published by Springer. This book was released on 2015-04-22 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip practitioners to implement the Six Sigma principles in projects. The concepts discussed are all critically assessed and explained, allowing them to be practically applied in managerial decision-making, and in each chapter, the objectives and connections to the rest of the work are clearly illustrated. To aid in understanding, the book includes a wealth of tables, graphs, descriptions and checklists, as well as charts and plots, worked-out examples and exercises. Perhaps the most unique feature of the book is its approach, using statistical tools, to explain the science behind Six Sigma project management and integrated in engineering concepts. The material on quality engineering and statistical management tools offers valuable support for undergraduate, postgraduate and research students. The book can also serve as a concise guide for Six Sigma professionals, Green Belt, Black Belt and Master Black Belt trainers.

Statistical Intervals

Author : William Q. Meeker
Publisher : John Wiley & Sons
ISBN 13 : 0471687170
Total Pages : 648 pages
Book Rating : 4.4/5 (716 download)

DOWNLOAD NOW!

Book Synopsis Statistical Intervals by : William Q. Meeker

Download or read book Statistical Intervals written by William Q. Meeker and published by John Wiley & Sons. This book was released on 2017-04-10 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on: Likelihood-based statistical intervals Nonparametric bootstrap intervals Parametric bootstrap and other simulation-based intervals An introduction to Bayesian intervals Bayesian intervals for the popular binomial, Poisson and normal distributions Statistical intervals for Bayesian hierarchical models Advanced case studies, further illustrating the use of the newly described methods New technical appendices provide justification of the methods and pathways to extensions and further applications. A webpage directs readers to current readily accessible computer software and other useful information. Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.

Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015

Author : Ershi Qi
Publisher : Springer
ISBN 13 : 9462391807
Total Pages : 927 pages
Book Rating : 4.4/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015 by : Ershi Qi

Download or read book Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015 written by Ershi Qi and published by Springer. This book was released on 2016-01-29 with total page 927 pages. Available in PDF, EPUB and Kindle. Book excerpt: Being the premier forum for the presentation of new advances and research results in the fields of Industrial Engineering, IEEM 2015 aims to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and applications face and face, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises, and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. All the goals of the international conference are to fulfill the mission of the series conference which is to review, exchange, summarize and promote the latest achievements in the field of industrial engineering and engineering management over the past year, and to propose prospects and vision for the further development. This volume is the first of the two proceedings volumes from this conference.

Statistical Process Monitoring and Optimization

Author : Geoffrey Vining
Publisher : CRC Press
ISBN 13 : 9780824760076
Total Pages : 520 pages
Book Rating : 4.7/5 (6 download)

DOWNLOAD NOW!

Book Synopsis Statistical Process Monitoring and Optimization by : Geoffrey Vining

Download or read book Statistical Process Monitoring and Optimization written by Geoffrey Vining and published by CRC Press. This book was released on 1999-11-24 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range of statistical methods and emphasizes practical applications of quality control systems in manufacturing, organization and planning.

Statistical Control by Monitoring and Adjustment

Author : George E. P. Box
Publisher : John Wiley & Sons
ISBN 13 : 1118164466
Total Pages : 360 pages
Book Rating : 4.1/5 (181 download)

DOWNLOAD NOW!

Book Synopsis Statistical Control by Monitoring and Adjustment by : George E. P. Box

Download or read book Statistical Control by Monitoring and Adjustment written by George E. P. Box and published by John Wiley & Sons. This book was released on 2011-09-09 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "This book . . . is a significant addition to the literature onstatistical practice . . . should be of considerable interest tothose interested in these topics."—International Journal ofForecasting Recent research has shown that monitoring techniques alone areinadequate for modern Statistical Process Control (SPC), and thereexists a need for these techniques to be augmented by methods thatindicate when occasional process adjustment is necessary.Statistical Control by Monitoring and Adjustment, Second Editionpresents the relationship among these concepts and elementary ideasfrom Engineering Process Control (EPC), demonstrating how thepowerful synergistic association between SPC and EPC can solvenumerous problems that are frequently encountered in processmonitoring and adjustment. The book begins with a discussion of SPC as it was originallyconceived by Dr. Walter A. Shewhart and Dr. W. Edwards Deming.Subsequent chapters outline the basics of the new integration ofSPC and EPC, which is not available in other related books.Thorough coverage of time series analysis for forecasting, processdynamics, and non-stationary models is also provided, and thesesections have been carefully written so as to require only anelementary understanding of mathematics. Extensive graphicalexplanations and computational tables accompany the numerousexamples that are provided throughout each chapter, and a helpfulselection of problems and solutions further facilitatesunderstanding. Statistical Control by Monitoring and Adjustment, Second Editionis an excellent book for courses on applied statistics andindustrial engineering at the upper-undergraduate and graduatelevels. It also serves as a valuable reference for statisticiansand quality control practitioners working in industry.

Nonparametric and Semiparametric Nonlinear Profile Monitoring with Multiple Predictors

Author : Takayuki Iguchi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)

DOWNLOAD NOW!

Book Synopsis Nonparametric and Semiparametric Nonlinear Profile Monitoring with Multiple Predictors by : Takayuki Iguchi

Download or read book Nonparametric and Semiparametric Nonlinear Profile Monitoring with Multiple Predictors written by Takayuki Iguchi and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monitoring data arising from a process a practitioner desires to be in-control is a typical task in Statistical Process Control (SPC). These data are generated sequentially over time, and the goal of a SPC tool called a control chart is to detect an out-of-control process with as little delay as possible while also minimizing false alarms. The assumptions made on the data generating process guides control chart design. We consider a general task called profile monitoring wherein the data being monitored are a set of noisy responses and predictors, and we wish to detect changes in the functional relationship $f$ between these two. Ideally, the profile monitoring method should minimize the number and strength of the assumptions about the data as much as possible while being computationally fast and having both desirable sensitivity and specificity. As such we consider estimating the functional relationship $f$ in either a semiparametric or nonparametric model. The dissertation involves two completed projects and preliminary results in a promising direction. The first project proposes a semiparametric approach using a single-index model (SIM), where we monitor an $l_2$ based statistic on the parametric component called the index parameter. The SIM approach outcompetes its competitors in detection delay and is the first profile monitoring method to use SIMs to model $f$. The second project provides a nonparametric control chart that is fast, has small detection delay, and is able to avoid false alarms magnitudes better than what is found in the control chart literature. Typically, control charts are designed to achieve an in-control average run length (ARL) of 200 or 370. The proposed eigenvector perturbation control chart achieves an in-control ARL that is greater that $10^6$ while needing only a small (often mere a single) number of out-of-control observations to correctly flag an alarm. The dissertation concludes with a promising direction of research. Although the estimate of a SIM in the first project is computationally fast enough for many applications, it is insufficient for streaming data. The final project aims to fill this gap and we provide preliminary results demonstrating a faster approach that empirically gives the same predictive power as its competitor.