Extreme Value Modeling and Risk Analysis Methods and Applications Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications. The book brings together background material and advanced topics eliminating the need to sort through the massive amount of literature on the subject. After reviewing univariate extreme value analysis and multivariate extremes the book explains univariate extreme value mixture modeling threshold selection in extreme value analysis and threshold modeling of non-stationary extremes. It presents new results for block-maxima of vine copulas develops time series of extremes with applications from climatology describes max-autoregressive and moving maxima models for extremes and discusses spatial extremes and max-stable processes. The book then covers simulation and conditional simulation of max-stable processes; inference methodologies such as composite likelihood Bayesian inference and approximate Bayesian computation; and inferences about extreme quantiles and extreme dependence. It also explores novel applications of extreme value modeling including financial investments insurance and financial risk management weather and climate disasters clinical trials and sports statistics. Risk analyses related to extreme events require the combined expertise of statisticians and domain experts in climatology hydrology finance insurance sports and other fields. This book connects statistical/mathematical research with critical decision and risk assessment/management applications to stimulate more collaboration between these statisticians and specialists. | Extreme Value Modeling and Risk Analysis Methods and Applications GBP 44.99 1
Social Computing and Virtual Communities Growing more quickly than we can study or come to fully understand it social computing is much more than the next thing. Whether it is due more to technology-driven convenience or to the basic human need to find kindred connection online communication and communities are changing the way we live. Social Computing and Virtual Communities compiles contributions from international experts to offer the sort of multidisciplinary study that is required in any investigation of communities. Delving fully into theories and methods application areas and types of online social environments this book — Introduces several theories regarding online social interaction Provides a general overview of methodologies qualitative and quantitative for analyzing and evaluating virtual communities Makes an in-depth investigation into e-learning communities and the formation of social networks of learners Examines healthcare communities motivated by physical pain illness and burdensome symptoms Discusses intellectual property (IP) issues including those involving user-generated content Delves into the topic of online trust Introduces virtual communities in which users immerse themselves in a 3D virtual environment including MMORPG (massively multiplayer online role playing games) Presents an unusual community of older people of Chinese culture who perceive virtual communities as a place where old beliefs and traditional norms can be preserved Explores the rapid rise of social networking sites (SNS) Books of this kind are uncommon. This work not only provides case studies of different domains of virtual communities and different types of social technologies but also emphasizes theoretical and methodological aspects required to research and analyze such communities. GBP 69.99 1
Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1 Handbook of Approximation Algorithms and Metaheuristics Second Edition reflects the tremendous growth in the field over the past two decades. Through contributions from leading experts this handbook provides a comprehensive introduction to the underlying theory and methodologies as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction relaxation local ratio approximation schemes randomization tabu search evolutionary computation local search neural networks and other metaheuristics. It also explores multi-objective optimization reoptimization sensitivity analysis and stability. Traditional applications covered include: bin packing multi-dimensional packing Steiner trees traveling salesperson scheduling and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization computational geometry and graphs problems as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering networks (sensor and wireless) communication bioinformatics search streams virtual communities and more. About the EditorTeofilo F. Gonzalez is a professor emeritus of computer science at the University of California Santa Barbara. He completed his Ph. D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma the Pennsylvania State University and the University of Texas at Dallas before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling graph algorithms computational geometry message communication wire routing etc. | Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1 GBP 44.99 1