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Book Mental Modeling Approach

Download or read book Mental Modeling Approach written by Matthew D. Wood and published by Springer. This book was released on 2016-12-09 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an easy-to-read, user-oriented introduction to mental models research and Mental Modeling TechnologyTM. Mental models are powerful influences human behavior. The book offers insight from the developers and most experienced application professionals of a widely proven methodology for understanding and influencing human judgment, decision making and behavior. The case studies show examples of the methodological concepts in their application context. It is one of the most comprehensive collections of cases focused on government needs of any similar qualitative analysis approach. Finally, it presents an introduction to software tools and tutorials that enable readers to use the approach for their own research needs.

Book Principles of Modeling and Simulation

Download or read book Principles of Modeling and Simulation written by John A. Sokolowski and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask "What if?" Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study. Numerous researchers from the fields of social science, engineering, computer science, and business have collaborated on this work to explore the multifaceted uses of computational modeling while illustrating their applications in common spreadsheets. The book is organized into three succinct parts: Principles of Modeling and Simulation provides a brief history of modeling and simulation, outlines its many functions, and explores the advantages and disadvantages of using models in problem solving. Two major reasons to employ modeling and simulation are illustrated through the study of a specific problem in conjunction with the use of related applications, thus gaining insight into complex concepts. Theoretical Underpinnings examines various modeling techniques and introduces readers to two significant simulation concepts: discrete event simulation and simulation of continuous systems. This section details the two primary methods in which humans interface with simulations, and it also distinguishes the meaning, importance, and significance of verification and validation. Practical Domains delves into specific topics related to transportation, business, medicine, social science, and enterprise decision support. The challenges of modeling and simulation are discussed, along with advanced applied principles of modeling and simulation such as representation techniques, integration into the application infrastructure, and emerging technologies. With its accessible style and wealth of real-world examples, Principles of Modeling and Simulation: A Multidisciplinary Approach is a valuable book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for researchers and practitioners working in statistics, mathematics, engineering, computer science, economics, and the social sciences who would like to further develop their understanding and knowledge of the field.

Book Mastering Data Modeling

    Book Details:
  • Author : John Carlis
  • Publisher : Addison-Wesley Professional
  • Release : 2000-11-10
  • ISBN : 0134176537
  • Pages : 629 pages

Download or read book Mastering Data Modeling written by John Carlis and published by Addison-Wesley Professional. This book was released on 2000-11-10 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data modeling is one of the most critical phases in the database application development process, but also the phase most likely to fail. A master data modeler must come into any organization, understand its data requirements, and skillfully model the data for applications that most effectively serve organizational needs. Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data that users need. Assuming no prior knowledge, Mastering Data Modeling sets forth several fundamental problems of data modeling, such as reconciling the software developer's demand for rigor with the users' equally valid need to speak their own (sometimes vague) natural language. In addition, it describes the good habits that help you respond to these fundamental problems. With these good habits in mind, the book describes the Logical Data Structure (LDS) notation and the process of controlled evolution by which you can create low-cost, user-approved data models that resist premature obsolescence. Also included is an encyclopedic analysis of all data shapes that you will encounter. Most notably, the book describes The Flow, a loosely scripted process by which you and the users gradually but continuously improve an LDS until it faithfully represents the information needs. Essential implementation and technology issues are also covered. You will learn about such vital topics as: The fundamental problems of data modeling The good habits that help a data modeler be effective and economical LDS notation, which encourages these good habits How to read an LDS aloud--in declarative English sentences How to write a well-formed (syntactically correct) LDS How to get users to name the parts of an LDS with words from their own business vocabulary How to visualize data for an LDS A catalog of LDS shapes that recur throughout all data models The Flow--the template for your conversations with users How to document an LDS for users, data modelers, and technologists How to map an LDS to a relational schema How LDS differs from other notations and why "Story interludes" appear throughout the book, illustrating real-world successes of the LDS notation and controlled evolution process. Numerous exercises help you master critical skills. In addition, two detailed, annotated sample conversations with users show you the process of controlled evolution in action.

Book Meta Analysis

    Book Details:
  • Author : Mike W.-L. Cheung
  • Publisher : John Wiley & Sons
  • Release : 2015-05-06
  • ISBN : 1119993431
  • Pages : 402 pages

Download or read book Meta Analysis written by Mike W.-L. Cheung and published by John Wiley & Sons. This book was released on 2015-05-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.

Book Econometric Modeling

Download or read book Econometric Modeling written by David F. Hendry and published by Princeton University Press. This book was released on 2012-06-21 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques. David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrated systems. In each setting, a statistical model is constructed to explain the observed variation in the data, with estimation and inference based on the likelihood function. Substantive issues are always addressed, showing how both statistical and economic assumptions can be tested and empirical results interpreted. Important empirical problems such as structural breaks, forecasting, and model selection are covered, and Monte Carlo simulation is explained and applied. Econometric Modeling is a self-contained introduction for advanced undergraduate or graduate students. Throughout, data illustrate and motivate the approach, and are available for computer-based teaching. Technical issues from probability theory and statistical theory are introduced only as needed. Nevertheless, the approach is rigorous, emphasizing the coherent formulation, estimation, and evaluation of econometric models relevant for empirical research.

Book Review of the Department of Defense Biokinetic Modeling Approach in Support of Establishing an Airborne Lead Exposure Limit

Download or read book Review of the Department of Defense Biokinetic Modeling Approach in Support of Establishing an Airborne Lead Exposure Limit written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-03-30 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biokinetic modeling provides a mathematical technique for estimating absorption, distribution, metabolism, and excretion of chemicals, including particles and metals, in humans. Such models can be used to relate the amount of lead external exposure to the amount of lead found in the blood and other tissues at different points in time. At the request of the Department of Defense (DoD), Review of the Department of Defense Biokinetic Modeling Approach in Support of Establishing an Airborne Lead Exposure Limit evaluates whether the model used by DoD to derive airborne lead concentrations from blood lead levels is appropriate. This report also considers whether DoD's modifications to the model are appropriately justified, and whether the assumptions in and inputs to the model are reasonable.

Book Position flexible Modeling Approach for an Efficient Optimization of the Machine Tool Dynamics Considering Local Damping Effects

Download or read book Position flexible Modeling Approach for an Efficient Optimization of the Machine Tool Dynamics Considering Local Damping Effects written by Thomas Semm and published by utzverlag GmbH. This book was released on 2021-03-31 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems

Download or read book A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems written by Elbert E. N. Macau and published by Springer. This book was released on 2018-06-14 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects recent developments in nonlinear and complex systems. It provides up-to-date theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers symmetry groups, conservation laws, risk reduction management, barriers in Hamiltonian systems, and synchronization and chaotic transient. Illustrating mathematical modeling applications to nonlinear physics and nonlinear engineering, the book is ideal for academic and industrial researchers concerned with machinery and controls, manufacturing, and controls. · Introduces new concepts for understanding and modeling complex systems; · Explains risk reduction management in complex systems; · Examines the symmetry group approach to understanding complex systems; · Illustrates the relation between transient chaos and crises.

Book Use of a Watershed modeling Approach to Assess Hydrologic Effects of Urbanization  North Fork Pheasant Branch Basin Near Middleton  Wisconsin

Download or read book Use of a Watershed modeling Approach to Assess Hydrologic Effects of Urbanization North Fork Pheasant Branch Basin Near Middleton Wisconsin written by Jeffrey J. Steuer and published by . This book was released on 2001 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Calculus for the Life Sciences  A Modeling Approach

Download or read book Calculus for the Life Sciences A Modeling Approach written by James L. Cornette and published by American Mathematical Soc.. This book was released on 2019-05-25 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Calculus for the Life Sciences is an entire reimagining of the standard calculus sequence with the needs of life science students as the fundamental organizing principle. Those needs, according to the National Academy of Science, include: the mathematical concepts of change, modeling, equilibria and stability, structure of a system, interactions among components, data and measurement, visualization, and algorithms. This book addresses, in a deep and significant way, every concept on that list. The book begins with a primer on modeling in the biological realm and biological modeling is the theme and frame for the entire book. The authors build models of bacterial growth, light penetration through a column of water, and dynamics of a colony of mold in the first few pages. In each case there is actual data that needs fitting. In the case of the mold colony that data is a set of photographs of the colony growing on a ruled sheet of graph paper and the students need to make their own approximations. Fundamental questions about the nature of mathematical modeling—trying to approximate a real-world phenomenon with an equation—are all laid out for the students to wrestle with. The authors have produced a beautifully written introduction to the uses of mathematics in the life sciences. The exposition is crystalline, the problems are overwhelmingly from biology and interesting and rich, and the emphasis on modeling is pervasive. An instructor's manual for this title is available electronically to those instructors who have adopted the textbook for classroom use. Please send email to [email protected] for more information. Online question content and interactive step-by-step tutorials are available for this title in WebAssign. WebAssign is a leading provider of online instructional tools for both faculty and students.

Book Mathematical Modeling Approach To Infectious Diseases  A  Cross Diffusion Pde Models For Epidemiology

Download or read book Mathematical Modeling Approach To Infectious Diseases A Cross Diffusion Pde Models For Epidemiology written by William E Schiesser and published by World Scientific. This book was released on 2018-06-27 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intent of this book is to provide a methodology for the analysis of infectious diseases by computer-based mathematical models. The approach is based on ordinary differential equations (ODEs) that provide time variation of the model dependent variables and partial differential equations (PDEs) that provide time and spatial (spatiotemporal) variations of the model dependent variables.The starting point is a basic ODE SIR (Susceptible Infected Recovered) model that defines the S,I,R populations as a function of time. The ODE SIR model is then extended to PDEs that demonstrate the spatiotemporal evolution of the S,I,R populations. A unique feature of the PDE model is the use of cross diffusion between populations, a nonlinear effect that is readily accommodated numerically. A second feature is the use of radial coordinates to represent the geographical distribution of the model populations.The numerical methods for the computer implementation of ODE/PDE models for infectious diseases are illustrated with documented R routines for particular applications, including models for malaria and the Zika virus. The R routines are available from a download so that the reader can reproduce the reported solutions, then extend the applications through computer experimentation, including the addition of postulated effects and associated equations, and the implementation of alternative models of interest.The ODE/PDE methodology is open ended and facilitates the development of computer-based models which hopefully can elucidate the causes/conditions of infectious disease evolution and suggest methods of control.

Book Biology in Time and Space  A Partial Differential Equation Modeling Approach

Download or read book Biology in Time and Space A Partial Differential Equation Modeling Approach written by James P. Keener and published by American Mathematical Soc.. This book was released on 2021-06-02 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do biological objects communicate, make structures, make measurements and decisions, search for food, i.e., do all the things necessary for survival? Designed for an advanced undergraduate audience, this book uses mathematics to begin to tell that story. It builds on a background in multivariable calculus, ordinary differential equations, and basic stochastic processes and uses partial differential equations as the framework within which to explore these questions.

Book Organizational citizenship behaviors among public employees  A structural equation modeling approach

Download or read book Organizational citizenship behaviors among public employees A structural equation modeling approach written by Filadelfo León Cázares and published by Editorial Universitaria - Libros UDG. This book was released on 2012-12-03 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a ground-breaking attempt to assess the impact of public employees´ perceptions on public sector performance in a Latin american and Caribbean context. It opens a window to a generally ignored public sector by ilustrating teh excent to wich public eployees´ engagement in citizenship behaviors affect their organizations, as well as how these interdependent relationships underpin actual performance. It offers penetrating insights on public service motivation, transformational leadership, and employee satisfaction and trus. Apart from the psychological insights, this study also establishes a bridge for scholars to undertake comparative studies of public sector performance globally.

Book Linking the economics of water  energy  and food  A nexus modeling approach

Download or read book Linking the economics of water energy and food A nexus modeling approach written by Al-Riffai, Perrihan and published by Intl Food Policy Res Inst. This book was released on 2017-04-28 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: We use an innovative methodology to model the socioeconomic linkages between water, energy, and food in the East Nile Basin. Based upon a theoretical nexus framework, the methodology is expanded into a quantifiable modeling suite that under-lies the analysis of each of three country case studies. The advantages are that, despite resource shortages being a challenge, the modeling suite aids in devising policies and strategies that formulate these sectoral interdependencies and provide the evidence-based research results necessary for their design in a way that exploits synergies existing across sectors, countries, and regions (Al-Zubari n.d.). This paper lays out the methodology and gives an example of an application and scenarios by focusing on three countries in the East Nile Basin. This methodology paper will be followed by three individual country case studies that highlight the water, energy, and food nexus for each.

Book Differential Equations

Download or read book Differential Equations written by Robert L. Borrelli and published by Wiley. This book was released on 2004-01-02 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This effective and practical new edition continues to focus on differential equations as a powerful tool in constructing mathematical models for the physical world. It emphasizes modeling and visualization of solutions throughout. Each chapter introduces a model and then goes on to look at solutions of the differential equations involved using an integrated analytical, numerical, and qualitative approach. The authors present the material in a way that's clear and understandable to students at all levels. Throughout the text the authors convey their enthusiasm and excitement for the study of ODEs.