Statistical Monitoring Of Complex Multivatiate Processes

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Statistical Monitoring of Complex Multivatiate Processes

Uwe Kruger,Lei Xie
Statistical Monitoring of Complex Multivatiate Processes Book PDF

Author : Uwe Kruger,Lei Xie
Publisher : John Wiley & Sons
Page : 486 pages
File Size : 51,5 Mb
Release : 2012-10-04
Category : Mathematics
ISBN : 9780470028193

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Statistical Monitoring of Complex Multivatiate Processes by Uwe Kruger,Lei Xie Pdf

The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry. This book: Contains a detailed theoretical background of the component technology. Brings together a large body of work to address the field’s drawbacks, and develops methods for their improvement. Details cross-disciplinary utilization, exemplified by examples in chemical, mechanical and manufacturing engineering. Presents real life industrial applications, outlining deficiencies in the methodology and how to address them. Includes numerous examples, tutorial questions and homework assignments in the form of individual and team-based projects, to enhance the learning experience. Features a supplementary website including Matlab algorithms and data sets. This book provides a timely reference text to the rapidly evolving area of multivariate statistical analysis for academics, advanced level students, and practitioners alike.

Statistical Monitoring of Complex Multivatiate Processes

Uwe Kruger,Lei Xie
Statistical Monitoring of Complex Multivatiate Processes Book PDF

Author : Uwe Kruger,Lei Xie
Publisher : John Wiley & Sons
Page : 1 pages
File Size : 45,7 Mb
Release : 2012-08-22
Category : Mathematics
ISBN : 9780470517246

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Statistical Monitoring of Complex Multivatiate Processes by Uwe Kruger,Lei Xie Pdf

The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry. This book: Contains a detailed theoretical background of the component technology. Brings together a large body of work to address the field’s drawbacks, and develops methods for their improvement. Details cross-disciplinary utilization, exemplified by examples in chemical, mechanical and manufacturing engineering. Presents real life industrial applications, outlining deficiencies in the methodology and how to address them. Includes numerous examples, tutorial questions and homework assignments in the form of individual and team-based projects, to enhance the learning experience. Features a supplementary website including Matlab algorithms and data sets. This book provides a timely reference text to the rapidly evolving area of multivariate statistical analysis for academics, advanced level students, and practitioners alike.

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

Fouzi Harrou,Ying Sun,Amanda S. Hering,Muddu Madakyaru,abdelkader Dairi
Statistical Process Monitoring Using Advanced Data Driven and Deep Learning Approaches Book PDF

Author : Fouzi Harrou,Ying Sun,Amanda S. Hering,Muddu Madakyaru,abdelkader Dairi
Publisher : Elsevier
Page : 330 pages
File Size : 44,9 Mb
Release : 2020-07-03
Category : Technology & Engineering
ISBN : 9780128193662

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches by Fouzi Harrou,Ying Sun,Amanda S. Hering,Muddu Madakyaru,abdelkader Dairi Pdf

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault detection and attribution Provides an in-depth understanding of fault detection and attribution in complex and multivariate systems Familiarises you with the most suitable data-driven based techniques including multivariate statistical techniques and deep learning-based methods Includes case studies and comparison of different methods

Multivariate Statistical Process Control

Zhiqiang Ge,Zhihuan Song
Multivariate Statistical Process Control Book PDF

Author : Zhiqiang Ge,Zhihuan Song
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 44,9 Mb
Release : 2012-11-28
Category : Technology & Engineering
ISBN : 9781447145134

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Multivariate Statistical Process Control by Zhiqiang Ge,Zhihuan Song Pdf

Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for complex process monitoring. These new methods are demonstrated in several case studies from the chemical, biological, and semiconductor industrial areas. Control and process engineers, and academic researchers in the process monitoring, process control and fault detection and isolation (FDI) disciplines will be interested in this book. It can also be used to provide supplementary material and industrial insight for graduate and advanced undergraduate students, and graduate engineers. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Statistical Methods for Hospital Monitoring with R

Anthony Morton,Kerrie L. Mengersen,Geoffrey Playford,Michael Whitby
Statistical Methods for Hospital Monitoring with R Book PDF

Author : Anthony Morton,Kerrie L. Mengersen,Geoffrey Playford,Michael Whitby
Publisher : John Wiley & Sons
Page : 462 pages
File Size : 40,5 Mb
Release : 2013-06-27
Category : Medical
ISBN : 9781118639177

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Statistical Methods for Hospital Monitoring with R by Anthony Morton,Kerrie L. Mengersen,Geoffrey Playford,Michael Whitby Pdf

Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and quality improvement departments in hospitals, to analyse their often non-independent data which is frequently in the form of trended, over-dispersed and sometimes auto-correlated time series; this is often difficult to analyse using standard office software. This book provides much-needed guidance on data analysis using R for the growing number of scientists in hospital departments who are responsible for producing reports, and who may have limited statistical expertise. This book explores data analysis using R and is aimed at scientists in hospital departments who are responsible for producing reports, and who are involved in improving safety. Professionals working in the healthcare quality and safety community will also find this book of interest Statistical Methods for Hospital Monitoring with R: Provides functions to perform quality improvement and infection management data analysis. Explores the characteristics of complex systems, such as self-organisation and emergent behaviour, along with their implications for such activities as root-cause analysis and the Pareto principle that seek few key causes of adverse events. Provides a summary of key non-statistical aspects of hospital safety and easy to use functions. Provides R scripts in an accompanying web site enabling analyses to be performed by the reader http://www.wiley.com/go/hospital_monitoring Covers issues that will be of increasing importance in the future, such as, generalised additive models, and complex systems, networks and power laws.

Introduction to Statistical Process Control

Muhammad Aslam,Aamir Saghir,Liaquat Ahmad
Introduction to Statistical Process Control Book PDF

Author : Muhammad Aslam,Aamir Saghir,Liaquat Ahmad
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 49,9 Mb
Release : 2020-08-19
Category : Mathematics
ISBN : 9781119528449

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Introduction to Statistical Process Control by Muhammad Aslam,Aamir Saghir,Liaquat Ahmad Pdf

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.

Monitoring Multimode Continuous Processes

Marcos Quiñones-Grueiro,Orestes Llanes-Santiago,Antônio José Silva Neto
Monitoring Multimode Continuous Processes Book PDF

Author : Marcos Quiñones-Grueiro,Orestes Llanes-Santiago,Antônio José Silva Neto
Publisher : Springer Nature
Page : 153 pages
File Size : 50,5 Mb
Release : 2020-08-04
Category : Technology & Engineering
ISBN : 9783030547387

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Monitoring Multimode Continuous Processes by Marcos Quiñones-Grueiro,Orestes Llanes-Santiago,Antônio José Silva Neto Pdf

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

Multivariate Statistical Process Control with Industrial Applications

Robert L. Mason,John C. Young
Multivariate Statistical Process Control with Industrial Applications Book PDF

Author : Robert L. Mason,John C. Young
Publisher : SIAM
Page : 276 pages
File Size : 42,9 Mb
Release : 2002-01-01
Category : Technology & Engineering
ISBN : 0898718465

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Multivariate Statistical Process Control with Industrial Applications by Robert L. Mason,John C. Young Pdf

This applied, self-contained text provides 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. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables.

Data-Driven Fault Detection for Industrial Processes

Zhiwen Chen
Data Driven Fault Detection for Industrial Processes Book PDF

Author : Zhiwen Chen
Publisher : Springer
Page : 112 pages
File Size : 41,8 Mb
Release : 2017-01-02
Category : Technology & Engineering
ISBN : 9783658167561

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Data-Driven Fault Detection for Industrial Processes by Zhiwen Chen Pdf

Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.

Data Monitoring Committees in Clinical Trials

Susan S. Ellenberg,Thomas R. Fleming,David L. DeMets
Data Monitoring Committees in Clinical Trials Book PDF

Author : Susan S. Ellenberg,Thomas R. Fleming,David L. DeMets
Publisher : John Wiley & Sons
Page : 490 pages
File Size : 47,8 Mb
Release : 2019-04-01
Category : Medical
ISBN : 9781119512653

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Data Monitoring Committees in Clinical Trials by Susan S. Ellenberg,Thomas R. Fleming,David L. DeMets Pdf

­The authoritative guide for Data Monitoring Committees—fully revised and updated The number of clinical trials sponsored by government agencies and pharmaceutical companies has grown in recent years, prompting an increased need for interim monitoring of data on safety and efficacy. Data Monitoring Committees (DMCs) are an essential component of many clinical trials, safeguarding trial participants and protecting the credibility and validity of the study. Data Monitoring Committees in Clinical Trials: A Practical Perspective, 2nd Edition offers practical advice for those managing and conducting clinical trials and serving on Data Monitoring Committees, providing a practical overview of the establishment, purpose, and responsibilities of these committees. Examination of topics such as the composition and independence of DMCs, statistical, philosophical and ethical considerations, and determining when a DMC is needed, presents readers with a comprehensive foundational knowledge of clinical trial oversight. Providing recent examples to illustrate DMC principles, this fully-updated guide reflects current developments and practices in clinical trial oversight and offers expanded coverage of emerging issues and challenges in the field. This new second edition covers the most current information on DMC policies, issues in monitoring trials using new designs, and recent trial publications relevant to DMC decision-making. • Presents practical advice for those managing and conducting clinical trials and serving on Data Monitoring Committees • Illustrates the types of challenging issues Data Monitoring Committees face in practical situations • Provides updated and expanded coverage of topics including regulatory and funding agency guidelines and trial designs and their associated demands and limitations • Includes a new chapter addressing legal issues that affect DMC members and discusses general litigation concerns relevant to clinical research • Expands treatment of current journal publications addressing DMC issues Data Monitoring Committees in Clinical Trials: A Practical Perspective, 2nd Edition is a must-have text for anyone engaged in DMC activities as well as trial sponsors, clinical trial researchers, regulatory and bioethics professionals, and those associated with clinical trials in academic, government and industry settings.

Statistical Methods for Evaluating Safety in Medical Product Development

A. Lawrence Gould
Statistical Methods for Evaluating Safety in Medical Product Development Book PDF

Author : A. Lawrence Gould
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 40,7 Mb
Release : 2015-02-23
Category : Medical
ISBN : 9781119979661

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Statistical Methods for Evaluating Safety in Medical Product Development by A. Lawrence Gould Pdf

This book gives professionals in clinical research valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It also provides understanding and practical guidance on the application of contemporary statistical methods to contemporary issues in safety evaluation during medical product development. Each chapter provides sufficient detail to the reader to undertake the design and analysis of experiments at various stages of product development, including comprehensive references to the relevant literature. Provides a guide to statistical methods and application in medical product development Assists readers in undertaking design and analysis of experiments at various stages of product development Features case studies throughout the book, as well as, SAS and R code

Introduction to Probability and Statistics for Ecosystem Managers

Timothy C. Haas
Introduction to Probability and Statistics for Ecosystem Managers Book PDF

Author : Timothy C. Haas
Publisher : John Wiley & Sons
Page : 271 pages
File Size : 54,6 Mb
Release : 2013-05-21
Category : Mathematics
ISBN : 9781118636237

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Introduction to Probability and Statistics for Ecosystem Managers by Timothy C. Haas Pdf

Explores computer-intensive probability and statistics for ecosystem management decision making Simulation is an accessible way to explain probability and stochastic model behavior to beginners. This book introduces probability and statistics to future and practicing ecosystem managers by providing a comprehensive treatment of these two areas. The author presents a self-contained introduction for individuals involved in monitoring, assessing, and managing ecosystems and features intuitive, simulation-based explanations of probabilistic and statistical concepts. Mathematical programming details are provided for estimating ecosystem model parameters with Minimum Distance, a robust and computer-intensive method. The majority of examples illustrate how probability and statistics can be applied to ecosystem management challenges. There are over 50 exercises – making this book suitable for a lecture course in a natural resource and/or wildlife management department, or as the main text in a program of self-study. Key features: Reviews different approaches to wildlife and ecosystem management and inference. Uses simulation as an accessible way to explain probability and stochastic model behavior to beginners. Covers material from basic probability through to hierarchical Bayesian models and spatial/ spatio-temporal statistical inference. Provides detailed instructions for using R, along with complete R programs to recreate the output of the many examples presented. Provides an introduction to Geographic Information Systems (GIS) along with examples from Quantum GIS, a free GIS software package. A companion website featuring all R code and data used throughout the book. Solutions to all exercises are presented along with an online intelligent tutoring system that supports readers who are using the book for self-study.

A Practical Guide to Designing Phase II Trials in Oncology

Sarah R. Brown,Walter M. Gregory,Christopher J. Twelves,Julia M. Brown
A Practical Guide to Designing Phase II Trials in Oncology Book PDF

Author : Sarah R. Brown,Walter M. Gregory,Christopher J. Twelves,Julia M. Brown
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 54,6 Mb
Release : 2014-05-12
Category : Medical
ISBN : 9781118570906

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A Practical Guide to Designing Phase II Trials in Oncology by Sarah R. Brown,Walter M. Gregory,Christopher J. Twelves,Julia M. Brown Pdf

How to identify optimal phase II trial designs Providing a practical guide containing the information needed to make crucial decisions regarding phase II trial designs, A Practical Guide to Designing Phase II Trials in Oncology sets forth specific points for consideration between the statistician and clinician when designing a phase II trial, including issues such as how the treatment works, choice of outcome measure and randomization, and considering both academic and industry perspectives. A comprehensive and systematic library of available phase II trial designs is included, saving time otherwise spent considering multiple manuscripts, and real-life practical examples of using this approach to design phase II trials in cancer are given. A Practical Guide to Designing Phase II Trials in Oncology: Offers a structured and practical approach to phase II trial design Considers trial design from both an academic and industry perspective Includes a structured library of available phase II trial designs Is relevant to both clinical and statistical researchers at all levels Includes real life examples of applying this approach For those new to trial design, A Practical Guide to Designing Phase II Trials in Oncology will be a unique and practical learning tool, providing an introduction to the concepts behind informed decision making in phase II trials. For more experienced practitioners, the book will offer an overview of new, less familiar approaches to phase II trial design, providing alternative options to those which they may have previously used.

Bayesian Biostatistics

Emmanuel Lesaffre,Andrew B. Lawson
Bayesian Biostatistics Book PDF

Author : Emmanuel Lesaffre,Andrew B. Lawson
Publisher : John Wiley & Sons
Page : 536 pages
File Size : 44,6 Mb
Release : 2012-06-18
Category : Medical
ISBN : 9781118314579

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Bayesian Biostatistics by Emmanuel Lesaffre,Andrew B. Lawson Pdf

The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials. Key Features: Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques. Contains introductory explanations of Bayesian principles common to all areas of application. Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics. Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs. Highlights the differences between the Bayesian and classical approaches. Supported by an accompanying website hosting free software and case study guides. Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.

Financial Risk Modelling and Portfolio Optimization with R

Bernhard Pfaff
Financial Risk Modelling and Portfolio Optimization with R Book PDF

Author : Bernhard Pfaff
Publisher : John Wiley & Sons
Page : 309 pages
File Size : 46,9 Mb
Release : 2012-11-05
Category : Mathematics
ISBN : 9781118477120

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Financial Risk Modelling and Portfolio Optimization with R by Bernhard Pfaff Pdf

Introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Enables the reader to replicate the results in the book using R code. Is accompanied by a supporting website featuring examples and case studies in R. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.