The book takes the concept of computer-based simulations for predicting American football gameslike the Madden video games for exampleand attempts to devise a simpler method. With just a word processor, some spreadsheets, a fundamental understanding of percentages and probabilities, and a few hours of work, anyone can achieve results that are remarkably similar to those of the more sophisticated computer models. Chapters 1 to 5 outline the method and its rationale. Chapters 6 to 9 detail an actual simulated contest play-by-play. Chapters 10 to 11 and the appendices utilize the method described to determine which professional football team of the past fifty years was truly the best.

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This engineering dynamics textbook is aimed at beginning graduate students in mechanical engineering and other related engineering disciplines who need training in dynamics as applied to engineering mechanisms. It introduces the formal mathematical development of Lagrangian mechanics (and its corollaries), while solving numerous engineering applications. The author’s goal is to instill an understanding of the basic physics required for engineering dynamics, while providing a recipe (algorithm) for the simulation of engineering mechanisms such as robots. The book will be reasonably self-contained so that the practicing engineer interested in this area can also make use of it. This book is made accessible to the widest possible audience by numerous, solved examples and diagrams that apply the principles to real engineering applications. • Provides an applied textbook for intermediate/advanced engineering dynamics courses; • Discusses Lagrangian mechanics in the context of numerous engineering applications; • Includes numerous, solved examples, illustrative diagrams and applied exercises in every chapter

Match analysis is a performance-diagnostic procedure, which can be used to carry out systematic gaming analysis during competition and training. The analysis of team and racket sports, whether in competition, for opponent preparation (match plan), follow-up, or training is nowadays indispensable in many sports games at different levels. This analysis nevertheless presents many open questions and problem areas: Which data should be used? Who manages the data? Who provides whom with which information? How is this information presented, digested, and applied? The more complex and anonymous the data management is, the more commercial, expensive, and uncontrollable information management and provision becomes. Match Analysis: How to Use Data in Professional Sport is the first book to examine this topic through three types of data sets; video, event, and position data and show how to interpret this data and apply the findings for better team and individual sport performance. This innovative new volume is key reading for researchers, students, and practitioners alike in the fields of Coaching, Performance Analysis, Sport Management, and related specific sport disciplines.

This volume advocates accurate case outcome prediction that does not rely on symmetric modeling. To that end, it provides theory construction and testing applications in several sub-disciplines of business and the social sciences to illustrate how to move away from symmetric theory construction. Each chapter constructs case outcome theory and includes empirical analysis of outcomes. Chapter 1 provides a foundation of symmetric variable directional-relationship theory construction and null hypothesis significance testing versus asymmetric case outcome theory construction and somewhat precise outcome testing, while Chapters 2–6 investigate these principles through a range of applications. This volume will be very useful to researchers and professionals in manufacturing, service, consulting, management, marketing, organizational studies, and more. It will also be an excellent resource for advanced statistics students in building and testing case outcome models. Data sets are included so that readers can replicate findings presented in each chapter, and grow to present and test additional theories.

This is the first book to make all the central concepts of discrete event simulation relevant for health technology assessment. Accessible to beginners, the book requires no prerequisites and describes the concepts with as little jargon as possible. It presents essential concepts, a fully worked out implementation example, approaches to analyze the simulations, the development of the required equations, model verification techniques, and validation. The book also covers various special topics and includes a real case study involving screening strategies for breast cancer surveillance.

The two-volume set LNCS 9516 and LNCS 9517 constitutes the refereed proceedings of the 22nd International Conference on Multimedia Modeling, MMM 2016, held in Miami, FL, USA, in January 2016. The 32 revised full papers and 52 poster papers presented were carefully reviewed and selected from 117 submissions. In addition 20 papers were accepted for five special sessions out of 38 submissions as well as 7 demonstrations (from 11 submissions) and 9 video showcase papers. The papers are organized in topical sections on video content analysis, social media analysis, object recognition and system, multimedia retrieval and ranking, multimedia representation, machine learning in multimedia, and interaction and mobile. The special sessions are: good practices in multimedia modeling; semantics discovery from multimedia big data; perception, aesthetics, and emotion in multimedia quality modeling; multimodal learning and computing for human activity understanding; and perspectives on multimedia analytics.