Modeling Time in Computing

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.

This book presents a theoretical treatment of nonlinear behaviour of solids and structures in such a way that it is suitable for numerical computation, typically using the Finite Element Method. Starting out from elementary concepts, the author systematically uses the principle of virtual work, initially illustrated by truss structures, to give a self-contained and rigorous account of the basic methods. The author illustrates the combination of translations and rotations by finite deformation beam theories in absolute and co-rotation format, and describes the deformation of a three-dimensional continuum in material form. A concise introduction to finite elasticity is followed by an extension to elasto-plastic materials via internal variables and the maximum dissipation principle. Finally, the author presents numerical techniques for solution of the nonlinear global equations and summarises recent results on momentum and energy conserving integration of time-dependent problems. Exercise

Virtual Testing and Predictive Modeling: Fatigue and Fracture Mechanics Allowables provides an overview of cost and time efficient methods in measuring the quality of industrial structural parts.Read

The spatial variation of seismic ground motions denotes the differences in the seismic time histories at various locations on the ground surface. This text focuses on the spatial variability of the mo

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets avai

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets avai

This textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: solving stiff systems, operational amplifiers, electrohydraulic servovalves, using Matlab with transfer functions, using Matlab with frequency response, Matlab tutorial and an expanded Simulink tutorial. The work has 40% more end-of-chapter exercises and 3

A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financ

Shown alone, in costumes, and in a variety of winsome poses, sixteen adorable tabbies are ready to steal your heart away. Illustrations from vintage sources depict these furry felines modeling fancy h

This book presents a method that allows the use of multiresolution principles in a time domain electromagnetic modeling technique that is applicable to general structures. The multiresolution time-dom

Alan Turing was one of the most important and influential thinkers of the 20th century. This volume makes his key writings available to a non-specialist readership for the first time. They make fascin

This monograph presents the latest advances of fuzzy logic and soft computing in reservoir characterization and modeling. It proposes for the first time that future develoments require perception-base

For the first time in book form, this comprehensive and systematic monograph presents methods for the reversible synthesis of logic functions and circuits. It is illustrated with a wealth of examples

Now available in paperback, this book introduces basic concepts and methods useful in the analysis and modeling of multivariate time series data. It concentrates on the time-domain analysis of multiva

This book derives and discusses the current state of the art in physical modelling of musical instruments for real-time sound synthesis. It includes the derivation of mathematical models in the form

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and forecasting financial asset returns and their associated volatility. The models are analysed in detail and are not treated as 'black boxes'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.

Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and forecasting financial asset returns and their associated volatility. The models are analysed in detail and are not treated as 'black boxes'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.

Value-at-Risk (VaR) is a powerful toolfor assessing market risk in real time—a critical insight when making trading andhedging decisions. The VaR Modeling Handbookis the most complete, up-to-date refe

Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control. Processor clusters, local and wide area networks, and the informat

First published in 1996, Dynamic Disequilibrium Modeling presents some surveys and developments in dynamic disequilibrium and continuous time econometric modeling along with related research from associated fields. Specific areas covered include applications in business cycles and growth, tests for nonlinearity, rationing and disequilibrium dynamics, and demographic and international applications. The contents of this volume comprise the proceedings of the ninth conference in The International Symposia in Economic Theory and Econometrics series under the general editorship of William Barnett. The proceedings volume includes the most important papers presented at a conference held at the University of Munich on August 31-September 4, 1993.

For readers of David Nicholls and Sally Rooney comes a new love story that's at once tender and electrifying—told by everyone but the main characters. When Clara and Seb first cross paths in a London square, it’s the start of something exciting. Clara, an aspiring director stuck in an entry-level job, itches to pick up a camera. Seb, having floated between music, modeling, and now acting, struggles to find purpose in his work. Yet as random chance brings the two back together, time and time again, neither could predict that their magnetic connection is set to change their lives.But everyone else does. The spark between Clara and Seb is exactly what falling in love should look like: exhilarating, passionate, undeniable. The two become a whirlwind, their relationship enthralling everyone they come across. But as the years go on and tensions flair, a last-ditch attempt to save their great romance ends with a gut-wrenching betrayal.Set over the course of two decades, Clara and Seb’s love s

This 5th edition of this popular graduate textbook, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The R package 'astsa' has had major updates and the text will reflect those updates. In general, the graphics have been improved. New topics include random number generation, modeling and fitting predator-prey interactions, more emphasis on structural models, testing for linearity, discussion of EM algorithm is more extensive, Bayesian analysis of state space models and MCMC is more extensive (including new scripts in astsa), particle methods are introduced, stochastic volatility coverage is expanded, changepoint detection is introduced (new topic).The

The range of phenomena that manifest at all different time and length scales and the wide range of sizes of space objects, from minor bodies in the Solar System to exoplanets, and from dust particles to Jupiter-size bodies, require the development of dynamical modeling and analysis tools that can handle these different scales. This volume collects contributions given by distinguished scientists at the hybrid IAU Symposium 364. The methods in dynamics modeling of space objects have already reached a state of maturity, and their implementation provided a large number of important results pertaining to both the theory and their applications. The contributions cover the recent advances in the multi-scale dynamics of natural and artificial space objects from various perspectives, which will benefit graduate students and researchers working in the fields of celestial mechanics, astrodynamics, planetary sciences, applied mathematics and dynamical systems.

This volume offers insights from modeling relations between teacher quality, instructional quality and student outcomes in mathematics across countries. The relations explored take the educational con

Computational fluid dynamics (CFD) studies the flow motion in a discretized space. Its basic scale resolved is the mesh size and time step. The CFD algorithm can be constructed through a direct modeli

The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.

The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.

In IAU Symposium 282, members of the exoplanet and binary star communities unite for the first time to discuss the state-of-the-art discovery, imaging, modeling and analysis tools used to study stars, brown dwarfs and exoplanets in multiple-object systems. They describe detection techniques using advanced telescopes and detectors, including the Kepler mission and the proposed Gaia and LSST projects. Imaging techniques discussed include adaptive optics, interferometry, polarimetry and tomography, while key modeling tools are covered in detail. Other topics include simulations of formation mechanisms in binary star systems, non-conservative evolution of binary stars, the formation and evolution of planets and a theory for the structure, atmospheres and evolution of giant exoplanets. The volume concludes with hydrodynamic simulations, models of planetary atmospheres and the habitability of exoplanets. These proceedings demonstrate how sophisticated modeling codes bridge the gap between th

A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along whic

This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world.It

Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, man

A collection of articles by leading international experts on modeling and control of potable water distribution and sewerage collection systems, focusing on advances in sensors, instrumentation and co

This book describes in detail a research project dedicated to liquid-particle flow using ultrasound techniques. The project consists of theoretical, experimental, data science, finite element modeling, mechanical design and project management components. The objective of the project was to develop the ultrasonic methodology for measurement and characterization of liquid flow containing solid particles, in online (real-time) measurement conditions. The project consists of primary and complementary studies. The primary studies comprise development of the ultrasonic methodology for the simultaneous measurement of the average particle concentration and flow speed parameters. The developed methodology is based on the ultrasonic attenuation spectroscopy and the sound speed measurement methods, supported by data science programs. The complementary studies include acoustic streaming, designing a small-scale rotational test cell with an annular flow channel, testing it for various applications

Future of Internet of Bio-nano Things in Personalized Healthcare: Applications and Challenges explores the core principles of nanomaterials and the sensing paradigms essential for medical devices based on nano-sensors technology, examining the latest theoretical and practical developments in Internet of Bio-nano Things (IoBNT) for health applications. This book explores how IoBNT facilitates the detection and treatment of diseases within the human body through communication between an in-body network of nanodevices and an external control unit. Readers will discover the transformative benefits of IoBNT, which integrates information and communication technologies with medical and nano-bio sensor devices to enhance patient care. The book highlights advances in telemedicine, including highly functional electronic medical devices like implantable and wearable devices engineered through nanotechnology. It details real-time case studies on smart drug delivery, edge computing, and personalize

This book serves as a comprehensive introduction to quantum computing platforms, inspired by recent advancements in quantum technologies aimed at detecting and manipulating single quantum objects. Encompassing solid-state, atomic, and optical platforms, it delves into various aspects of quantum computing, including topological quantum computing. The content covers the fabrication, modeling, and numerical implementation of quantum circuits, such as Josephson junctions and qubits, along with hybrid nanostructures. Additionally, the book introduces quantum entanglement, a crucial concept for quantum communication and information processes. The well-compiled topics and concise presentation position the book as a primer for courses on quantum technologies.

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process

Understanding AI has never been easier. Combining bold graphics with easy-to-understand text, Simply Artificial Intelligence is the perfect introduction to the world of AI for those who are short of time but hungry for knowledge. Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed the way we live, and how it might evolve in the future. Explaining each individual aspect of AI more clearly than ever before, the book outlines the key building-blocks and technological milestones in its history, profiles its most important practical applications - both currentand predicted - and explores the numerous ethical debates around AI, and its increasing influence on culture and society. Whether you are studying science or AI-related subjects at school or college, or simply want a jargon-free overview of this increasingly important subject, this ess

The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More.AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will give you the edge you need to harness AI for your benefit. Learn how AI can efficiently identify shadow data, fortify security measures, generate predictive analytics in real time, and so much more.In this comprehensive guide, Cisco professionals Omar Santos, Samer Salam, and Hazim Dahir engage you in both AI application and theory through practical case studies and predictions of future trends, which makes this book not just a valuable guide for today, but an indispensable resource for tomorrow.You'll discover how AI is building robust bridges in collaboration tools and turning IoT into a super-intelligen