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| modeling lingo: The Complete Idiot's Guide to Being a Model Roshumba Williams, 1999 The Clairol model and VH1 star offers herself as a role model for young women who are interested in her profession, discussing such pertinent topics as style, make-up, hair, wardrobe, portfolios, and exercise. Original. |
| modeling lingo: Break into Modeling for Under $20 Judy Goss, 2008-07-22 There's a popular misconception that breaking into the modeling business requires expensive head shots and other costly investments. Judy Goss, a former Ford model and professional with twenty years in the business, has set out to dispel that myth once and for all, and tell you how you can actually launch your career for $20 or less. Judy breaks the process down into four simple steps: Preparation, Pictures, Promotion, and Presentation. She gives countless suggestions and tells all sorts of industry secrets, such as how to: * Determine what type of model you are * Take your own pictures at home in the right poses and clothes * Prepare what to say and do at casting calls * Avoid costly scams * And much more. Judy's expert advice will guide aspiring models of any age through the process of finding representation with a reputable agency or manager, and it provides a valuable resource to fall back on even after models start working. This comprehensive, step-by-step guide is the only book you'll need to launch the career of your dreams. |
| modeling lingo: Careers in Modeling Kerri O'Donnell, 2000-12-15 Discusses everyday duties, career opportunities, and necessary skills and training in the field of modeling. |
| modeling lingo: The Art of Analysis Arthur M. Langer, 2013-03-14 In any software project the analysis stage - documenting and designing requirements to meet the needs of the prospective users - is vital to the success of the project. This book provides a thorough introduction to analysis and where it fits into the software engineering process. The author applies his many years of experience both as a manager of software projects and as a consultant to numerous companies to illustrate succesful techniques and to identify potential pitfalls. The book is based on courses offered at Columbia University to a diverse audience of students and professionals. Throughout, the author is concerned to emphasize the stages of analysis and to identify many alternative modelling tools that an analyst can use. Particular emphasis is placed on Joint Application Development and on prototyping. Readers are assumed to have a reasonable understanding of computer concepts and terminology, and so this will be suitable for a first-level analysis course or it can be used by information systems professionals who need an in-depth understanding of the principles of the analysis and design process. |
| modeling lingo: Guide to Software Development Arthur M. Langer, 2012-01-03 This book addresses how best to make build vs. buy decisions, and what effect such decisions have on the software development life cycle (SDLC). Offering an integrated approach that includes important management and decision practices, the text explains how to create successful solutions that fit user and customer needs, by mixing different SDLC methodologies. Features: provides concrete examples and effective case studies; focuses on the skills and insights that distinguish successful software implementations; covers management issues as well as technical considerations, including how to deal with political and cultural realities in organizations; identifies many new alternatives for how to manage and model a system using sophisticated analysis tools and advanced management practices; emphasizes how and when professionals can best apply these tools and practices, and what benefits can be derived from their application; discusses searching for vendor solutions, and vendor contract considerations. |
| modeling lingo: Input-Output Models for Sustainable Industrial Systems Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos, 2018-09-12 This book addresses the specialized topic of input–output models for sustainable industrial systems. While these models are well-established tools for economic analysis, their underlying mathematical structure is also applicable to the analysis and optimization of a wide range of systems that are characterized by linear interdependencies among their components. This means that input–output models can be used for diverse networks, such as processes within industrial plants, industrial plants in a supply chain, or departmental units within an organization. The models can also be readily extended to interactions between man-made systems and the environment, e.g. flows of natural resources and/or pollutants. Furthermore, model variants with excess degrees of freedom can be formulated to allow optimization and decision-making to be integrated within the framework. This book examines how input–output models can be applied to sustainable industrial systems. Each major variant is discussed separately in a dedicated chapter, and representative case studies and supporting LINGO code are also included. |
| modeling lingo: Analysis and Design of Information Systems Arthur M. Langer, 2013-03-14 In any software design project, the analysis stage - documenting and designing technical requirements for the needs of users - is vital to the success of the project. This book provides a thorough introduction and survey to all aspects of analysis, including design of E-commerce systems, and how it fits into the software engineering process. The material is based on successful professional courses offered at Columbia University to a diverse audience of advanced students and professionals. An emphasis is placed on the stages of analysis and the presentation of many alternative modeling tools that an analyst can utilize. Particular attention is paid to interviewing, modeling tools, and approaches to building effective web-based E-commerce systems. |
| modeling lingo: Modeling Languages in Mathematical Optimization Josef Kallrath, 2004-02-29 This volume presents a unique combination of modeling and solving real world optimization problems. It is the only book which treats systematically the major modeling languages and systems used to solve mathematical optimization problems, and it also provides a useful overview and orientation of today's modeling languages in mathematical optimization. It demonstrates the strengths and characteristic features of such languages and provides a bridge for researchers, practitioners and students into a new world: solving real optimization problems with the most advances modeling systems. |
| modeling lingo: Modeling Methods for Medical Systems Biology María Elena Álvarez-Buylla Roces, Juan Carlos Martínez-García, José Dávila-Velderrain, Elisa Domínguez-Hüttinger, Mariana Esther Martínez-Sánchez, 2018-08-03 This book contributes to better understand how lifestyle modulations can effectively halt the emergence and progression of human diseases. The book will allow the reader to gain a better understanding of the mechanisms by which the environment interferes with the bio-molecular regulatory processes underlying the emergence and progression of complex diseases, such as cancer. Focusing on key and early cellular bio-molecular events giving rise to the emergence of degenerative chronic disease, it builds on previous experience on the development of multi-cellular organisms, to propose a mathematical and computer based framework that allows the reader to analyze the complex interplay between bio-molecular processes and the (micro)-environment from an integrative, mechanistic, quantitative and dynamical perspective. Taking the wealth of empirical evidence that exists it will show how to build and analyze models of core regulatory networks involved in the emergence and progression of chronic degenerative diseases, using a bottom-up approach. |
| modeling lingo: Data Mining Using SAS Enterprise Miner Randall Matignon, 2007-08-13 The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis. Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data mining techniques and explains the purpose of-and reasoning behind-every node that is a part of the Enterprise Miner software. Each chapter begins with a short introduction to the assortment of statistics that is generated from the various nodes in SAS Enterprise Miner v4.3, followed by detailed explanations of configuration settings that are located within each node. Features of the book include: The exploration of node relationships and patterns using data from an assortment of computations, charts, and graphs commonly used in SAS procedures A step-by-step approach to each node discussion, along with an assortment of illustrations that acquaint the reader with the SAS Enterprise Miner working environment Descriptive detail of the powerful Score node and associated SAS code, which showcases the important of managing, editing, executing, and creating custom-designed Score code for the benefit of fair and comprehensive business decision-making Complete coverage of the wide variety of statistical techniques that can be performed using the SEMMA nodes An accompanying Web site that provides downloadable Score code, training code, and data sets for further implementation, manipulation, and interpretation as well as SAS/IML software programming code This book is a well-crafted study guide on the various methods employed to randomly sample, partition, graph, transform, filter, impute, replace, cluster, and process data as well as interactively group and iteratively process data while performing a wide variety of modeling techniques within the process flow of the SAS Enterprise Miner software. Data Mining Using SAS Enterprise Miner is suitable as a supplemental text for advanced undergraduate and graduate students of statistics and computer science and is also an invaluable, all-encompassing guide to data mining for novice statisticians and experts alike. |
| modeling lingo: Human Factors in Simulation and Training Dennis A. Vincenzi, Mustapha Moloua, Peter A Hancock, James A. Pharmer, James C. Ferraro, 2023-08-30 Human Factors in Simulation and Training: Theory and Methods covers theoretical concepts on human factors principles as they apply to the fields of simulation and training in the real world. This book discusses traditional and nontraditional aspects of simulation and training. Topics covered include simulation fidelity, transfer of training, limits of simulation and training, virtual reality in the training environment, simulation-based situation awareness training, automated performance measures, performance assessment in simulation, adaptive simulation-based training, and scoring simulations with artificial intelligence This book will be a valuable resource for professionals and graduate students in the fields of ergonomics, human factors, computer engineering, aerospace engineering and occupational health and safety. |
| modeling lingo: Proceedings of the 2001 Fourth International Conference on Cognitive Modeling Erik M. Altmann, Axel Cleeremans, Christian D. Schunn, Wayne D. Gray, 2001-07 This book documents the proceedings of the Fourth International Conference on Cognitive Modeling (ICCM), which brought together researchers from diverse backgrounds to compare cognitive models; evaluate models using human data; and further the development, accumulation, and integration of cognitive theory. ICCM provides a worldwide forum for cognitive scientists who build computational cognitive models and test them against empirical cognitive data. New features of the conference included the Newell Award for best student paper, the Siegel-Wolf Award for best applied research paper, and a Doctoral Consortium which provided an opportunity for students to meet their peers and mentors and to explore their dissertation work in an intense but friendly, multi-approach environment. These new features, as well as a comprehensive view of the posters presented at the conference are offered in this volume. |
| modeling lingo: Bayesian Statistical Modeling with Stan, R, and Python Kentaro Matsuura, 2023-01-24 This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language. The book is divided into four parts. The first part reviews the theoretical background of modeling and Bayesian inference and presents a modeling workflow that makes modeling more engineering than art. The second part discusses the use of Stan, CmdStanR, and CmdStanPy from the very beginning to basic regression analyses. The third part then introduces a number of probability distributions, nonlinear models, and hierarchical (multilevel) models, which are essential to mastering statistical modeling. It also describes a wide range of frequently used modeling techniques, such as censoring, outliers, missing data, speed-up, and parameter constraints, and discusses how to lead convergence of MCMC. Lastly, the fourth part examines advanced topics for real-world data: longitudinal data analysis, state space models, spatial data analysis, Gaussian processes, Bayesian optimization, dimensionality reduction, model selection, and information criteria, demonstrating that Stan can solve any one of these problems in as little as 30 lines. Using numerous easy-to-understand examples, the book explains key concepts, which continue to be useful when using future versions of Stan and when using other statistical modeling tools. The examples do not require domain knowledge and can be generalized to many fields. The book presents full explanations of code and math formulas, enabling readers to extend models for their own problems. All the code and data are on GitHub. |
| modeling lingo: Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray, 2021-11-03 Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM. |
| modeling lingo: Introduction to Civil Engineering Systems Samuel Labi, 2014-04-07 This book presents an integrated systems approach to the evaluation, analysis, design, and maintenance of civil engineering systems. Addressing recent concerns about the world's aging civil infrastructure and its environmental impact, the author makes the case for why any civil infrastructure should be seen as part of a larger whole. He walks readers through all phases of a civil project, from feasibility assessment to construction to operations, explaining how to evaluate tasks and challenges at each phase using a holistic approach. Unique coverage of ethics, legal issues, and management is also included. |
| modeling lingo: Neural Network Modeling Using SAS Enterprise Miner Randall Matignon, 2005-08 This book is designed in making statisticians, researchers, and programmers aware of the awesome new product now available in SAS called Enterprise Miner. The book will also make readers get familiar with the neural network forecasting methodology in statistics. One of the goals to this book is making the powerful new SAS module called Enterprise Miner easy for you to use with step-by-step instructions in creating a Enterprise Miner process flow diagram in preparation to data-mining analysis and neural network forecast modeling. Topics discussed in this book An overview to traditional regression modeling. An overview to neural network modeling. Numerical examples of various neural network designs and optimization techniques. An overview to the powerful SAS product called Enterprise Miner. An overview to the SAS neural network modeling procedure called PROC NEURAL. Designing a SAS Enterprise Miner process flow diagram to perform neural network forecast modeling and traditional regression modeling with an explanation to the various configuration settings to the Enterprise Miner nodes used in the analysis. Comparing neural network forecast modeling estimates with traditional modeling estimates based on various examples from SAS manuals and literature with an added overview to the various modeling designs and a brief explanation to the SAS modeling procedures, option statements, and corresponding SAS output listings. |
| modeling lingo: Estimating Toll Road Demand and Revenue David S. Kriger, Suzette Shiu, Sasha Naylor, National Cooperative Highway Research Program, 2006 |
| modeling lingo: The Guru's Guide to SQL Server Stored Procedures, XML, and HTML Ken Henderson, 2002 CD-ROM contains: Source code from text. |
| modeling lingo: Polytomous Item Response Theory Models Remo Ostini, Michael L. Nering, 2006 This volume provides an introduction to the range of polytomous models available within item response theory. It begins by outlining the distinction between the two major types of polytomous IRT models, then goes on to describe them in detail. |
| modeling lingo: Mastering Girlhood To Womanhood Book 5 Juanita Tischendorf, 2018-06-22 This is where I tell you that you that the development of yourself is complete, even though there is one more book to follow. In Mastering Girlhood To Womanhood Book 5 is more for you when you are thinking about a career. In this book you will learn about modeling, pageantry, and the world of business; all areas that put your self-evaluation to the ultimate test. Most of the skills you have gained, but here you learn their crucial use. |
| modeling lingo: Cloud Data Centers and Cost Modeling Caesar Wu, Rajkumar Buyya, 2015-02-27 Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. - Explains how to balance cloud computing functionality with data center efficiency - Covers key requirements for power management, cooling, server planning, virtualization, and storage management - Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations - Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development |
| modeling lingo: Introduction to Modeling and Simulation with MATLAB® and Python Steven I. Gordon, Brian Guilfoos, 2017-07-12 Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a just-in-time approach so that by the end of the book, students can take on relatively simple modeling example on their own. Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts – one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics. The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors. |
| modeling lingo: Integrated Urban Models for Simulation of Transit and Land Use Policies Eric J. Miller, David S. Kriger, John Douglas Hunt, National Research Council (U.S.). Transportation Research Board, 1999 Describe how transit agencies, metropolitan planning organizations, and state DOTs can act today to initiate or expand their analytical tools for integrated land use-transportation planning. The Guidelines are intended for the general reader having an interest in the effects of transit on land use. The Guidelines describe currently available integrated models, the characteristics of an ideal integrated model, and steps that a planning organization should take in order to support and expand such modeling capability. |
| modeling lingo: Inferential Network Analysis Skyler J. Cranmer, Bruce A. Desmarais, Jason W. Morgan, 2020-11-19 This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses. |
| modeling lingo: Process Management Jörg Becker, Martin Kugeler, Michael Rosemann, 2013-06-05 Process Management is a comprehensive compendium for the contemporary design of process-oriented organizations. It presents a proven methodology for the introduction and sustainable management of business processes. This book discusses each phase of a business process lifecycle model in the light of current research. A continuous case study provides interesting insights into the actual experiences with this lifecycle model and adds to the credibility of the presented contents. This also includes recommendations which are summarized in pragmatic checklists for each stage of the project. This book is of relevance for business analysts, business process managers, consultants, and all practitioners dealing with the analysis and re-design of business processes. It is also a valuable resource for lecturers and students in the disciplines of Business, Information Systems and Engineering. |
| modeling lingo: Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling National Research Council, Division of Behavioral and Social Sciences and Education, Commission on Behavioral and Social Sciences and Education, Committee on National Statistics, Panel to Evaluate Microsimulation Models for Social Welfare Programs, 1991-02-01 This book reviews the uses and abuses of microsimulation modelsâ€large, complex models that produce estimates of the effects on program costs and who would gain and who would lose from proposed changes in government policies ranging from health care to welfare to taxes. Volume 1 is designed to guide future investment in modeling and analysis capability on the part of government agencies that produce policy estimates. It will inform congressional and executive decision makers about the strengths and weaknesses of models and estimates and will interest social scientists in the potential of microsimulation techniques for basic and applied research as well as policy uses. The book concludes that a second revolution is needed to improve the quality of microsimulation and other policy analysis models and the estimates they produce, with a special emphasis on systematic validation of models and communication of validation results to decision makers. |
| modeling lingo: Graph Databases in Action Dave Bechberger, Josh Perryman, 2020-11-24 Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. Summary Relationships in data often look far more like a web than an orderly set of rows and columns. Graph databases shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records, or computer networks. In Graph Databases in Action, experts Dave Bechberger and Josh Perryman illuminate the design and implementation of graph databases in real-world applications. You'll learn how to choose the right database solutions for your tasks, and how to use your new knowledge to build agile, flexible, and high-performing graph-powered applications! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Isolated data is a thing of the past! Now, data is connected, and graph databases—like Amazon Neptune, Microsoft Cosmos DB, and Neo4j—are the essential tools of this new reality. Graph databases represent relationships naturally, speeding the discovery of insights and driving business value. About the book Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. What's inside Graph databases vs. relational databases Systematic graph data modeling Querying and navigating a graph Graph patterns Pitfalls and antipatterns About the reader For software developers. No experience with graph databases required. About the author Dave Bechberger and Josh Perryman have decades of experience building complex data-driven systems and have worked with graph databases since 2014. Table of Contents PART 1 - GETTING STARTED WITH GRAPH DATABASES 1 Introduction to graphs 2 Graph data modeling 3 Running basic and recursive traversals 4 Pathfinding traversals and mutating graphs 5 Formatting results 6 Developing an application PART 2 - BUILDING ON GRAPH DATABASES 7 Advanced data modeling techniques 8 Building traversals using known walks 9 Working with subgraphs PART 3 - MOVING BEYOND THE BASICS 10 Performance, pitfalls, and anti-patterns 11 What's next: Graph analytics, machine learning, and resources |
| modeling lingo: Methods and Models Rebecca B. Morton, 1999-08-28 At present much of political science consists of a large body of formal mathematical work that remains largely unexplored empirically and an expanding use of sophisticated statistical techniques. While there are examples of noteworthy efforts to bridge the gap between these, there is still a need for much more cooperative work between formal theorists and empirical researchers in the discipline. This book explores how empirical analysis has, can, and should be used to evaluate formal models in political science. The book is intended to be a guide for active and future political scientists who are confronting the issues of empirical analysis with formal models in their work and as a basis for a needed dialogue between empirical and formal theoretical researchers in political science. These developments, if combined, are potentially a basis for a new revolution in political science. |
| modeling lingo: Judilee's Jubilee Judilee C. Bennyhoff, 2013-04 Judilee Bennyhoff spent her childhood and teenage years living above a funeral home. She painted this miniature picture of the funeral home. Growing up with such grief and sadness gave her an enthusiasm and zest for life. Judilee was a model and worked at a famous psychiatric clinic in New York City. She then became an interior designer and artist on the Main Line of Philadelphia where she still lives in Strafford, Pennsylvania with her husband (me). These are her stories. You will laugh out loud... or, at times, reach for a tissue. You will LOVE the read and you will get to love Judilee as I do! George R. Bennyhoff Front cover design and illustration by Elizabeth Traynor. (Lizzie is the author's wonderful niece.) |
| modeling lingo: Encyclopedia of Computer Science and Technology Jack Belzer, Albert G. Holzman, Allen Kent, 1978-07-01 This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions. |
| modeling lingo: Model-oriented Systems Engineering Science Duane W. Hybertson, 2016-04-19 Systems engineering (SE) is experiencing a significant expansion that encompasses increasingly complex systems. However, a common body of knowledge on how to apply complex systems engineering (CSE) has yet to be developed. A combination of people and other autonomous agents, crossing organization boundaries and continually changing, these hybrid sy |
| modeling lingo: Human Factors in Simulation and Training Peter A. Hancock, Dennis A. Vincenzi, John A. Wise, Mustapha Mouloua, 2008-12-17 Discussing issues and concepts relating to human factors in simulation, this book covers theory and application in fields such as space, ships, submarines, naval aviation, and commercial aviation. The authors develop and expand on concepts in simulator usage particularly specific characteristics and issues of simulation and their effect on the validity and functionality of simulators as a training device. The chapters contain in depth discussions of these particular characteristics and issues. They also incorporate theories pertaining to the motivational aspects of training, simulation of social events, and PC based simulation. |
| modeling lingo: Data Pipelines Pocket Reference James Densmore, 2021-02-10 Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting |
| modeling lingo: Intelligent Support Systems: Knowledge Management Sugumaran, Vijayan, 2001-07-01 There is a growing interest in developing intelligent systems that would enable users to accomplish complex tasks in a Web-centric environment with relative ease by utilizing such technologies as intelligent agents, distributed computing and computer supported collaborative work. This book brings together researchers in related fields to explore various aspects of ISS design and implementation, as well as to share experiences and lessons learned in deploying intelligent support systems. |
| modeling lingo: Principle Advancements in Database Management Technologies: New Applications and Frameworks Siau, Keng, Erickson, John, 2009-12-31 Significant progression and usage of Internet innovations has caused a need for streamlining past, present, and future database technologies. Principle Advancements in Database Management Technologies: New Applications and Frameworks presents exemplary research in a variety of areas related to database development, technology, and use. This authoritative reference source presents innovative approaches by leading international experts to serve as the primary database management source for researchers, practitioners, and academicians. |
| modeling lingo: Models for Discrete Longitudinal Data Geert Molenberghs, Geert Verbeke, 2006-08-30 The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book. Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package. The authors received the American Statistical Association's Excellence in Continuing Education Award based on short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004. |
| modeling lingo: Discrete Choice Modelling and Air Travel Demand Laurie A. Garrow, 2016-05-23 In recent years, airline practitioners and academics have started to explore new ways to model airline passenger demand using discrete choice methods. This book provides an introduction to discrete choice models and uses extensive examples to illustrate how these models have been used in the airline industry. These examples span network planning, revenue management, and pricing applications. Numerous examples of fundamental logit modeling concepts are covered in the text, including probability calculations, value of time calculations, elasticity calculations, nested and non-nested likelihood ratio tests, etc. The core chapters of the book are written at a level appropriate for airline practitioners and graduate students with operations research or travel demand modeling backgrounds. Given the majority of discrete choice modeling advancements in transportation evolved from urban travel demand studies, the introduction first orients readers from different backgrounds by highlighting major distinctions between aviation and urban travel demand studies. This is followed by an in-depth treatment of two of the most common discrete choice models, namely the multinomial and nested logit models. More advanced discrete choice models are covered, including mixed logit models and generalized extreme value models that belong to the generalized nested logit class and/or the network generalized extreme value class. An emphasis is placed on highlighting open research questions associated with these models that will be of particular interest to operations research students. Practical modeling issues related to data and estimation software are also addressed, and an extensive modeling exercise focused on the interpretation and application of statistical tests used to guide the selection of a preferred model specification is included; the modeling exercise uses itinerary choice data from a major airline. The text concludes with a discussion of on-going customer modeling research in aviation. Discrete Choice Modelling and Air Travel Demand is enriched by a comprehensive set of technical appendices that will be of particular interest to advanced students of discrete choice modeling theory. The appendices also include detailed proofs of the multinomial and nested logit models and derivations of measures used to represent competition among alternatives, namely correlation, direct-elasticities, and cross-elasticities. |
| modeling lingo: Database Administration Craig Mullins, 2002 Giving comprehensive, soup-to-nuts coverage of database administration, this guide is written from a platform-independent viewpoint, emphasizing best practices. |
| modeling lingo: Software Architecture Oliver Vogel, Ingo Arnold, Arif Chughtai, Timo Kehrer, 2011-09-18 As a software architect you work in a wide-ranging and dynamic environment. You have to understand the needs of your customer, design architectures that satisfy both functional and non-functional requirements, and lead development teams in implementing the architecture. And it is an environment that is constantly changing: trends such as cloud computing, service orientation, and model-driven procedures open up new architectural possibilities. This book will help you to develop a holistic architectural awareness and knowledge base that extends beyond concrete methods, techniques, and technologies. It will also help you to acquire or expand the technical, methodological, and social competences that you need. The authors place the spotlight on you, the architect, and offer you long-term architectural orientation. They give you numerous guidelines, checklists, and best practices to support you in your practical work. Software Architecture offers IT students, software developers, and software architects a holistic and consistent orientation across relevant topics. The book also provides valuable information and suggestions for system architects and enterprise architects, since many of the topics presented are also relevant for their work. Furthermore, IT project leads and other IT managers can use the book to acquire an enhanced understanding of architecture. Further information is available at www.software-architecture-book.org. |
| modeling lingo: Behavioral Modeling for Embedded Systems and Technologies: Applications for Design and Implementation Gomes, Lu¡s, Fernandes, Jo?o M., 2009-07-31 This book provides innovative behavior models currently used for developing embedded systems, accentuating on graphical and visual notations--Provided by publisher. |
Modelling or modeling? - WordReference Forums
Feb 28, 2007 · In the case of modeling/modelling, this amounts to a wash, since there are two possible pronunciation of modeling by a (very) naive speller. But in most other three-syllable …
modeling (psychotherapy) - WordReference Forums
May 1, 2009 · In psychotherapy, "Modeling" is the process through which, by observing the coherence between the therapist’s words and deeds, the client vicariously learns different ways …
3D Modelling - WordReference Forums
Nov 11, 2008 · Hey guys I was just wondering if anyone could translate 3D Modelling into Japanese for me, I wanted to say to a friend of mine "I am going to study 3D Modelling at …
cuandoquiera - WordReference Forums
Oct 6, 2008 · I am working with a textbook author who is modeling the use of the subjunctive with cualquier, quienquiera, dondequiera, etc. She is concerned that the following two sentences …
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Aug 5, 2011 · The following is from an English exercise given by my son's teacher. 40% of lizard species worldwide could be extinct by 2080. Barry Sinerro reached the conclusion by taking …
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Jan 18, 2025 · A typo? It’s creosote bush. 中文名：三齿拉瑞阿 英（外）文名：Creosote Bush 拉丁学名：Larrea tridentata
today's meeting or today meeting | WordReference Forums
Apr 10, 2020 · 1 is by far the most natural way to say it. 2 is wrong. 3 is okay, but there’s no obvious reason to spell it out like that.
Year followed by E (e.g. 2019e, 2019E) (financial reporting)
Oct 20, 2020 · Hello, Could someone tell me what the letter E tacked onto the numeral representation of a year means in a stock market report, e.g. in the following quote: "Oddo …
encamamiento de pacientes - WordReference Forums
Oct 25, 2006 · Hola a todos: Estoy traduciendo un documento sobre equipo médico, el texto en el que tengo duda es: El equipo es para pacientes en encamamiento, UCI y sala de operaciones. …
se van incorporando a | WordReference Forums
Jan 30, 2009 · Hola a todos!! Tengo que traducir esta frase pero estoy en duda: " publicar los productos que se van incorporando a la página web" Mi intento: "publish the products which …
Modelling or modeling? - WordReference Forums
Feb 28, 2007 · In the case of modeling/modelling, this amounts to a wash, since there are two possible pronunciation of modeling by a (very) naive speller. But in most other three-syllable …
modeling (psychotherapy) - WordReference Forums
May 1, 2009 · In psychotherapy, "Modeling" is the process through which, by observing the coherence between the therapist’s words and deeds, the client vicariously learns different ways …
3D Modelling - WordReference Forums
Nov 11, 2008 · Hey guys I was just wondering if anyone could translate 3D Modelling into Japanese for me, I wanted to say to a friend of mine "I am going to study 3D Modelling at …
cuandoquiera - WordReference Forums
Oct 6, 2008 · I am working with a textbook author who is modeling the use of the subjunctive with cualquier, quienquiera, dondequiera, etc. She is concerned that the following two sentences …
comparing it against/with | WordReference Forums
Aug 5, 2011 · The following is from an English exercise given by my son's teacher. 40% of lizard species worldwide could be extinct by 2080. Barry Sinerro reached the conclusion by taking …
creosote bush | WordReference Forums
Jan 18, 2025 · A typo? It’s creosote bush. 中文名：三齿拉瑞阿 英（外）文名：Creosote Bush 拉丁学名：Larrea tridentata
today's meeting or today meeting | WordReference Forums
Apr 10, 2020 · 1 is by far the most natural way to say it. 2 is wrong. 3 is okay, but there’s no obvious reason to spell it out like that.
Year followed by E (e.g. 2019e, 2019E) (financial reporting)
Oct 20, 2020 · Hello, Could someone tell me what the letter E tacked onto the numeral representation of a year means in a stock market report, e.g. in the following quote: "Oddo …
encamamiento de pacientes - WordReference Forums
Oct 25, 2006 · Hola a todos: Estoy traduciendo un documento sobre equipo médico, el texto en el que tengo duda es: El equipo es para pacientes en encamamiento, UCI y sala de operaciones. …
se van incorporando a | WordReference Forums
Jan 30, 2009 · Hola a todos!! Tengo que traducir esta frase pero estoy en duda: " publicar los productos que se van incorporando a la página web" Mi intento: "publish the products which …
