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Praise for the Fourth Edition "The book follows faithfully the style of the original edition. The approach is heavily motivated by real-world time series, and by developing a complete approach to model building, estimation, forecasting and control." —Mathematical Reviews Bridging classical models and modern topics, the Fifth Edition of Time Series Analysis: Forecasting and Control maintains a balanced presentation of the tools for modeling and analyzing time series. Also describing the latest developments that have occurred in the field over the past decade through applications from areas such as business, finance, and engineering, the Fifth Edition continues to serve as one of the most in...
This is a complete revision of a classic, seminal, and authoritative text that has been the model for most books on the topic written since 1970. It explores the building of stochastic (statistical) models for time series and their use in important areas of application -forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
This book presents the select proceedings of the International Symposium entitled “Materials of the Millennium: Emerging Trends and Future Prospects” (MMETFP 2021). It discusses the synthesis, tailoring, and characterization of different materials for functional applications in various sectors which include but not limited to energy, environment, biomedical/ health care, construction, transportation etc. Topics covered in this book are synthesis and characterization of polymers, ceramics, composites, biomaterials, carbon-based nanostructures as well as materials for green environment, structural materials, modeling and simulation of materials. The book also covers the topic of emerging trends in nanostructured materials, thin films, and devices. The book is useful for students, researchers, and professionals working in the various areas of materials science and engineering.
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
Written for a variety of readers -- whether interested citizens, students, or practicing health professionals -- the book provides a systematic understanding of how health care is provided in the United States. It is a readable, candid and thoughtful dissection of the problems confronted by both individuals and institutions within the health sector. Focus is on a detailed analysis of external environmental issues, financial as well as regulatory, affecting providers, as well as on the structural shifts in health care delivery, with both intended and unintended consequences.
Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis,...
This book directly focuses on finding optimal trading strategies in the real world and supports that with a well-defined theoretical foundation that allows trading strategy problems to be solved. Critically, it also delivers a menu of actual solutions that can be applied by traders with various risk profiles and objectives in markets that exhibit substantial tail risk. It shows how the Markowitz approach leads to excessive risk taking, and trader underperformance, in the real world. It summarizes the key features of Utility Theory, the deficiencies of the Sharpe Ratio as a statistic, and develops an optimal decision theory with fully developed examples for both 'Normal' and leptokurtotic distributions.
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Providing expert advice from established scholars in the field of political science, this engaging companion book to Teaching Undergraduate Political Methodology imparts informative guidance on teaching research methods across the graduate curriculum. Written in a concise yet comprehensive style, it illustrates practical and conceptual advice, alongside more detailed chapters focussing on the different aspects of teaching political methodology.
Chapters: real world constraints to implementing hazard adjustments; trends for improving recovery and reconstruction following disasters; innovative dissemination; politics and disasters; partnerships for seismic zonation; engineering, codes, standards, and control and protection works; new directions for prediction, forecast, warning, and planning; mitigation: how to evaluate effectiveness; gender and disaster response; challenges facing health care delivery following disasters; insurance; emergency preparedness and response; and public and private partnerships for hazard mitigation and emergency management.