Modeling and Using Context

This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement

Offers exciting tips and techniques for creating luscious designs using chocolate modeling clay. Novice and advanced bakers alike will find tips on tools, decorations, and instructions for 101 tasty p

Description:In this book we are developing a multi-tiered object-oriented Java web system using Spring and Hibernate. Instead of real life business requirements, we consider examples of all the relati

This book examines the labour standards provisions in a number of Regional and Bilateral Trade Agreements, and assesses the potential of using the relevant clauses in these trade agreements as a bench

Hamad presents students, academics, and professionals working in a variety of contexts with a examination of step-by-step procedures for creating and modifying 3D models using AutoCAD software, assign

Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations provides a broad overview of recent progress in using laboratory experiments and numerical simula

The unifying thread of this interdisciplinary volume is the fact that Jewish spaces are almost always generated in relation to non-Jewish spaces; they determine and influence each other. Using various

This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity

"Using a political economy of health, this book examines the linkages between gender, globalization, and health in a Latin American context. Gideon shows that the development of health systems in Lati

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying

This volume teaches computer modeling of biological systems using models created by STELLA software, including cell development, the beating heart and the spread of epidemics. It includes easy-to-use

Get "Up and Running" with AutoCAD using Gindis’ combination of step-by-step instruction, examples, and insightful explanations. The emphasis from the beginning is on core concepts and practical applic

Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practising analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes lifelong learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques tha

This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.

This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.

Wood describes some of the currently popular techniques for the behavioral or system-level modeling of radio frequency power amplifiers to use in the context of linearizing the amplifiers. He focuses

The textbook introduces both scientific programming and stochastic modeling to undergraduate or graduate students of science, engineering, or commerce. Students are assumed to have taken or be taking

Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, n

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

This book presents a novel approach toward laser engineering by the use of models based on numerical methods, which are easily solved using spreadsheets. It covers key fundamental concepts of the lase

In the process of building and using models to comprehend the dynamics of the atmosphere, ocean and climate, the reader will learn how the different components of climate systems function, interact wi

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

This book describes novel methods for network-on-chip (NoC) design, using source-synchronous high-speed resonant clocks. It provides circuit-level details of the NoC and includes architectural simulat

Impedance Spectroscopy is a powerful measurement method used in many application fields such as electrochemistry, material science, biology and medicine, semiconductor industry and sensors. Using the

Provides step-by-step procedures using AutoCAD 2014 to create and modify 3D models in metric and imperial units.

An introduction to nonlinear and continuous systems using bond graph methodology, this textbook gives readers the foundations they need to apply physical system models in practiceGiving an integrated

Get "Up and Running" with AutoCAD using Gindis’s combination of step-by-step instruction, examples, and insightful explanations. The emphasis from the beginning is on core concepts and practical appli

"What do we mean when we talk about rights in relation to health? Where does the language of health rights come from, and what are the implications of using such a discourse? During the last 20 years

"This book provides readers with an academic investigation into HEV power train design using mathematical modeling and simulation of various hybrid electric motors and control systems"--

Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understa

This textbook treats system dynamics from a bond graph perspective. It guides students from the process of modeling using bond graphs, through dynamic systems analysis in the time and frequency domain

Tape measures and rulers are among the most common measuring tools. Readers are aided in understanding how these tools are used in a science context and offered an experiment for hands-on learning. Th

Edgar Allan Poe mastered a variety of literary forms over the course of his brief and turbulent career. As a storyteller, Poe defied convention by creating Gothic tales of mystery, horror and suspense that remain widely popular today. This collection demonstrates how Poe's experience of early nineteenth-century American life fueled his iconoclasm and shaped his literary legacy. Rather than provide critical explications of his writings, each essay explores one aspect of Poe's immediate environment, using pertinent writings - verse, fiction, reviews and essays - to suit. Examining his geographical, social and literary contexts, as well as those created by the publishing industry and advances in science and technology, the essays paint an unprecedented portrait of Poe's life and times. Written for a wide audience, the collection will offer scholars and students of American literature, historians and general readers new insight into Poe's rich and complex work.

Using rich case material and research presented by distinguished authorities in the fields of sex, couple, family, and psychotherapy, this edited book contributes to our efforts to help individuals an

This book provides you with a collection of best practices, guidelines, and tips for using the Unified Modeling Language (UML) for business analysis. The contents have been assembled over the years ba

This work considers a new paradigm in photovoltaic conversion, using quantum confinement as well as light and thermal management. Chapters by international photovoltaic scientists shed light on the la

Get "Up and Running" with AutoCAD using Gindis’ combination of step-by-step instruction, examples, and insightful explanations. The emphasis from the beginning is on core concepts and practical applic

Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process a

Providing a solid introduction to integrated refinery process modeling and optimization, this textbook adopts a practical approach, using many of the tools and techniques currently employed in modern