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Author: Apury Patel Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Author's abstract: The quality control chart has long been used to monitor for a change in an industrial process. We discuss the Shewhart chart and CUSUM chart in their use for detecting a change in the process mean. We discuss the two sided CUSUM chart proposed by Uys and Lombard (2007). Integral equations are derived that are useful in analyzing the performance of the CUSUM charts. The performance of the Shewhart chart, the CUSUM chart, and the V-mask CUSUM chart in detecting a change point of the process mean are compared using simulation.
Author: Apury Patel Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Author's abstract: The quality control chart has long been used to monitor for a change in an industrial process. We discuss the Shewhart chart and CUSUM chart in their use for detecting a change in the process mean. We discuss the two sided CUSUM chart proposed by Uys and Lombard (2007). Integral equations are derived that are useful in analyzing the performance of the CUSUM charts. The performance of the Shewhart chart, the CUSUM chart, and the V-mask CUSUM chart in detecting a change point of the process mean are compared using simulation.
Author: Douglas M. Hawkins Publisher: Springer Science & Business Media ISBN: 1461216869 Category : Mathematics Languages : en Pages : 259
Book Description
Covering CUSUMs from an application-oriented viewpoint, while also providing the essential theoretical underpinning, this is an accessible guide for anyone with a basic statistical training. The text is aimed at quality practitioners, teachers and students of quality methodologies, and people interested in analysis of time-ordered data. Further support is available from a Web site containing CUSUM software and data sets.
Author: Ravinesh C. Deo Publisher: Springer Nature ISBN: 9811557721 Category : Technology & Engineering Languages : en Pages : 469
Book Description
This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.
Author: Biswajit Sarkar Publisher: MDPI ISBN: 303928522X Category : Technology & Engineering Languages : en Pages : 618
Book Description
The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.
Author: Yanhong Wu Publisher: Springer Science & Business Media ISBN: 0387262695 Category : Mathematics Languages : en Pages : 164
Book Description
The main emphasis is on the inference problem for the change point and post-change parameters after a change has been detected. More specifically, due to the convenient form and statistical properties, the author concentrates on the CUSUM procedure. The goal is to provide some quantitative evaluations on the statistical properties of estimators on the change point and post-change parameters.
Author: Changming Sun Publisher: Springer ISBN: 3319109847 Category : Computers Languages : en Pages : 286
Book Description
With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to each of the applications. It can be used by those both at graduate and specialist levels.
Author: S. Ejaz Ahmed Publisher: Springer ISBN: 3319415735 Category : Mathematics Languages : en Pages : 390
Book Description
This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data. The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers.
Author: Stefanos Stefanidis Publisher: MDPI ISBN: 3036501088 Category : Science Languages : en Pages : 384
Book Description
- Water resources management should be assessed under climate change conditions, as historic data cannot replicate future climatic conditions. - Climate change impacts on water resources are bound to affect all water uses, i.e., irrigated agriculture, domestic and industrial water supply, hydropower generation, and environmental flow (of streams and rivers) and water level (of lakes). - Bottom-up approaches, i.e., the forcing of hydrologic simulation models with climate change models’ outputs, are the most common engineering practices and considered as climate-resilient water management approaches. - Hydrologic simulations forced by climate change scenarios derived from regional climate models (RCMs) can provide accurate assessments of the future water regime at basin scales. - Irrigated agriculture requires special attention as it is the principal water consumer and alterations of both precipitation and temperature patterns will directly affect agriculture yields and incomes. - Integrated water resources management (IWRM) requires multidisciplinary and interdisciplinary approaches, with climate change to be an emerging cornerstone in the IWRM concept.
Author: Apury Patel
Author: Apury Patel
Author: Lajos Horváth
Author: Douglas M. Hawkins
Author: Ravinesh C. Deo
Author: Biswajit Sarkar
Author: Yanhong Wu
Author: Changming Sun
Author: S. Ejaz Ahmed
Author: Eric D. Feigelson
Author: Stefanos Stefanidis