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<b>An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation</b> <p> Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. <i>Modeling and Simulation Fundamentals</i> offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. <p> Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. <p> <i>Modeling and Simulation Fundamentals</i> encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.
This book is a How To guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.
Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.
This book's goal is to offer medical practice leadership teams practical guidance on navigating the shift from volume-based to value-based managed care contractual relationships. Medical practices - both independent and affiliated - that understand how their organization can and should position themselves for the future will have a significant advantage over the competition. Honestly identifying where you are and defining where you want to be begins with developing a clear understanding of national and local market dynamics, identifying potential arrangements within your local market and applying those factors to your organization's goals. This exercise can ultimately inform your value proposition, which becomes the cornerstone of your managed care contracting strategy. The book will cover in detail the most common alternative payment models and what your practice should do to prepare for this transition. Models detailed include: Pay for performance Bundled payments Shared savings Capitation
Examine a compelling account of a professional caregiver's inspirational struggle with a mind/body illness and the renewed sense of compassion his recovery provides.This uplifting narrative is the story of a caregiving professional stricken by panic attacks, a wounded healer desperate to be healed. When the Caregiver Becomes the Patient is the candid and compassionate first-hand account of Daniel Langford's struggle with the anxiety disorder that signals a physical, cognitive, and emotional crisis that paralyzes him, despite his extensive background as a health care professional, social worker, and pastoral minister. His journey from the disorder's horrifying onset to the understanding and acceptance of its roots, and finally, to an insight that evokes a renewed appreciation for the human spirit is an inspirational guide to healing and recovery.The anecdotal form of When the Caregiver Becomes the Patient lends itself to a personal retelling of Langford's struggle, detailing his sessions with family physician Dr. David Betat, and colleague and co-author Dr. Emil Authelet as they explore the biopsychosocial and spiritual dimension of Langford's attacks. Their informal dialogues serve as a model of how a lateral relationship between colleagues can create an environment for healing and recovery that can be passed on to others. The book also critiques and reviews existing literature on panic attacks and anxiety disorders related to the author's search for understanding.When the Caregiver Becomes the Patient examines: panic attacks--cause, treatment, and recovery a critique of existing literature on panic attacks clinical and spiritual perspectives on anxiety disorders critical elements of the healing process effects on the caregiver's relationship with his/her client a fresh model for the caregiver/patient relationshipAn essential resource for caregivers, counselors and therapists, educators, physicians, and health care and religious professionals, as well as those searching for an understanding of anxiety disorders, When the Caregiver Becomes the Patient reassures those who receive care that the care giver struggles with life as well. That understanding of the mutuality of pain and recovery creates a connection that helps ease the isolation that often accompanies suffering.
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models. This approach helps less mathematically-inclined readers to grasp the underlying relations among path analysis, factor analysis, and structural equation modeling, and to set up and carry out such analyses. This revised and expanded fifth edition again contains key chapters on path analysis, structural equation models, and exploratory factor analysis. In addition, it contains new material on composite reliability, models with categorical data, the minimum average partial procedure, bi-factor models, and communicating about latent variable models. The informal writing style and the numerous illustrative examples make the book accessible to readers of varying backgrounds. Notes at the end of each chapter expand the discussion and provide additional technical detail and references. Moreover, most chapters contain an extended example in which the authors work through one of the chapter's examples in detail to aid readers in conducting similar analyses with their own data. The book and accompanying website provide all of the data for the book's examples as well as syntax from latent variable programs so readers can replicate the analyses. The book can be used with any of a variety of computer programs, but special attention is paid to LISREL and R. An important resource for advanced students and researchers in numerous disciplines in the behavioral sciences, education, business, and health sciences, Latent Variable Models is a practical and readable reference for those seeking to understand or conduct an analysis using latent variables.
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