Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.
Автор: Nuno Crato; Paolo Paruolo Название: Data-Driven Policy Impact Evaluation ISBN: 3030087034 ISBN-13(EAN): 9783030087036 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.
Автор: Crato Название: Data-Driven Policy Impact Evaluation ISBN: 3319784609 ISBN-13(EAN): 9783319784601 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage.
Автор: Harlim John Название: Data-Driven Computational Methods ISBN: 1108472478 ISBN-13(EAN): 9781108472470 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The mathematics behind, and the practice of, computational methods that leverage data for modelling dynamical systems are described in this book. It will teach readers how to fit data on the assumed model and how to use data to determine the underlying model. Suitable for graduate students in applied mathematics, statistics, and engineering.
Описание: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans.
Автор: Precup Radu-Emil, Roman Raul-Cristian, Safaei Ali Название: Data-Driven Model-Free Controllers ISBN: 0367697300 ISBN-13(EAN): 9780367697303 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, and gives the in-depth theory and mathematical proofs behind them. Each chapter includes a section for presenting the theory and mathematical definitions as well as examples of the corresponding control algorithms.
Описание: With a near 50% divorce rate in the United States, every parent who reads this book is either going through a divorce, has been divorced, is married to or living with someone who is divorced, or will go through one or more of his/her children`s divorces. Unlike books designed to enlighten parents about children`s reactions to divorce, A Parents` Guide to Child Custody is written for parents themselves. The book provides parents with an overview of the context within which custody is decided by courts today, including a chapter-by-chapter explanation of the factors that are considered by the court in rendering a custody decision. Part I opens the book with three brief case histories in which the reader is asked to put herself/himself in the place of the court by imaging what custody decisions they would make if they were the judge. This chapter is followed by an orientation to the three major factors that all courts consider in coming to a custody decision. Each subsequent chapter addresses the specific factors that are weighed by the court in its deliberations. Part II provides a more in-depth view of such topics as the factors considered by judges in coming to a custody decision, what to expect when undergoing a child custody evaluation, the use and pitfalls of psychological tests, the assessment of parental capacity, and strategies for countering false allegations. Part III reviews eight myths (i.e. commonly held misconceptions) about what is best for children, as well as guidelines for discussing custody with your children. Part IV provides insight into how best to deal with parental alienation, domestic violence, and obstruction of one parent`s access by the other parent after the court has ruled on custody. Part V concludes with eight sure-fire ways to lose custody as well as the custody evaluator`s recommendations in each of the three hypothetical cases presented in Part I. It is the author`s sincere hope that this book will help parents become better advocates for themselves and for their children.
Автор: Fr?d?ric Abergel; Hideaki Aoyama; Bikas K. Chakrab Название: Econophysics and Data Driven Modelling of Market Dynamics ISBN: 3319084720 ISBN-13(EAN): 9783319084725 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics.
Автор: Zhiwen Chen Название: Data-Driven Fault Detection for Industrial Processes ISBN: 3658167556 ISBN-13(EAN): 9783658167554 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes.
Описание: This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4-5 September 2020.
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