High Quality Content by WIKIPEDIA articles! Bromwell High is an animated series about a British high school in South London. It first aired on Teletoon in Canada and Channel 4 in the UK (incomplete run). It is a co-production between Hat Trick Productions in the UK and DHX Media in Canada. According to the Website Toonhound, it was originally to be entitled Streatham Hill, but was renamed Bromwell High in January 2005. Streatham Hill is a real London suburb, while Bromwell is fictional. Subsequent international purchases have seen the show screened in the United States on BBC America, on The Box in the Netherlands, dubbed to Spanish on Cartoon Network's Adult Swim in the Latin Americas, on the ABC in Australia, on TVNZ's TV2 in New Zealand, and also dubbed in French for the Canadian Télétoon network. It stars three trouble-making girls, Keisha, Latrina, and Natella as they wreak havoc on their impoverished school and its teachers. The show was designed by David Whittle, who is also responsible for illustrating the popjustice icons series of books.
This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis.This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors' website.
This unique graduate textbook offers a compelling narrative of the growing field of environmental economics that integrates theory, policy, and empirical topics. Daniel J. Phaneuf and Till Requate present both traditional and emerging perspectives, incorporating cutting-edge research in a way that allows students to easily identify connections and common themes. Their comprehensive approach gives instructors the flexibility to cover a range of topics, including important issues - such as tax interaction, environmental liability rules, modern treatments of incomplete information, technology adoption and innovation, and international environmental problems - that are not discussed in other graduate-levels texts. Numerous data-based examples and end-of-chapter exercises show students how theoretical and applied research findings are complementary, and will enable them to develop skills and interests in all areas of the field. Additional data sets and exercises can be accessed online, providing ample opportunity for practice. For more information, visit the book's website at http://phaneuf-requate.com/.
A practically-focused resource for business valuation professionals Financial Valuation: Applications and Models provides authoritative reference and practical guidance on the appropriate, defensible way to prepare and present business valuations. With contributions by 30 top experts in the field, this new fourth edition provides an essential resource for those seeking the most up-to-date guidance, with a strong emphasis on applications and models. Coverage includes state-of-the-art methods for the valuation of closely-held businesses, nonpublic entities, intangible, and other assets, with comprehensive discussion on valuation theory, a consensus view on application, and the tools to make it happen. Packed with examples, checklists, and models to help you navigate your valuation project, this book also provides hundreds of expert 'tips' and best practices in clear, easy-to-follow language. The companion website provides access to extensive appendix materials, and the perspectives of valuation thought-leaders add critical insight throughout each step of the process. Valuation is an important part of any organization's overall financial strategy, and seemingly-small inaccuracies or incomplete assessments can have big repercussions. This book walks you through the valuation process to give you the skills and understanding you need to get it done right. * Learn best practices from 30 field-leading experts * Follow clear examples for complex or unfamiliar scenarios * Access practical tools that streamline the valuation process * Understand valuation models and real-world applications The business valuation process can become very complex very quickly, and there's no substitute for clear guidance and a delineated framework in the run-up to completion. Get organized from the beginning, and be systematic and methodical every step of the way. Financial Valuation: Applications and Models is the all-encompassing, expert guide to business valuation projects.
Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach for known search methods to allow the development of new algorithms of search. The book addresses search methods under different constraints and assumptions, such as search uncertainty under incomplete information, probabilistic search scheme, observation errors, group testing, search games, distribution of search efforts, single and multiple targets and search agents, as well as online or offline search schemes. The proposed approach is associated with path planning techniques, optimal search algorithms, Markov decision models, decision trees, stochastic local search, artificial intelligence and heuristic information-seeking methods. Furthermore, this book presents novel methods of search for static and moving targets along with practical algorithms of partitioning and search and screening. Probabilistic Search for Tracking Targets includes complete material for undergraduate and graduate courses in modern applications of probabilistic search, decision-making and group testing, and provides several directions for further research in the search theory. The authors: * Provide a generalized information-theoretic approach to the problem of real-time search for both static and moving targets over a discrete space. * Present a theoretical framework, which covers known information-theoretic algorithms of search, and forms a basis for development and analysis of different algorithms of search over probabilistic space. * Use numerous examples of group testing, search and path planning algorithms to illustrate direct implementation in the form of running routines. * Consider a relation of the suggested approach with known search theories and methods such as search and screening theory, search games, Markov decision process models of search, data mining methods, coding theory and decision trees. * Discuss relevant search applications, such as quality-control search for nonconforming units in a batch or a military search for a hidden target. * Provide an accompanying website featuring the algorithms discussed throughout the book, along with practical implementations procedures.
A fully updated edition of this key text on mixed models, focusing on applications in medical research The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis, enabling efficient inferences and more information to be gained from the data. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This third edition of Brown and Prescott's groundbreaking text provides an update on the latest developments, and includes guidance on the use of current SAS techniques across a wide range of applications. * Presents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on incomplete block designs and the analysis of bilateral data. * Easily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists. * Includes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output. * Features the new version of SAS, including new graphics for model diagnostics and the procedure PROC MCMC. * Supported by a website featuring computer code, data sets, and further material. This third edition will appeal to applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The book will also be of great value to a broad range of scientists, particularly those working in the medical and pharmaceutical areas.
Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: * Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance * State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book's supplemental website * Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.
The increasing complexity of insurance and reinsurance products has seen a growing interest amongst actuaries in the modelling of dependent risks. For efficient risk management, actuaries need to be able to answer fundamental questions such as: Is the correlation structure dangerous? And, if yes, to what extent? Therefore tools to quantify, compare, and model the strength of dependence between different risks are vital. Combining coverage of stochastic order and risk measure theories with the basics of risk management and stochastic dependence, this book provides an essential guide to managing modern financial risk. * Describes how to model risks in incomplete markets, emphasising insurance risks. * Explains how to measure and compare the danger of risks, model their interactions, and measure the strength of their association. * Examines the type of dependence induced by GLM-based credibility models, the bounds on functions of dependent risks, and probabilistic distances between actuarial models. * Detailed presentation of risk measures, stochastic orderings, copula models, dependence concepts and dependence orderings. * Includes numerous exercises allowing a cementing of the concepts by all levels of readers. * Solutions to tasks as well as further examples and exercises can be found on a supporting website. An invaluable reference for both academics and practitioners alike, Actuarial Theory for Dependent Risks will appeal to all those eager to master the up-to-date modelling tools for dependent risks. The inclusion of exercises and practical examples makes the book suitable for advanced courses on risk management in incomplete markets. Traders looking for practical advice on insurance markets will also find much of interest.
'The United States has often acted as an empire in Latin America. Nevertheless, there has been an obvious dissimilarity between U.S. actions in South America and U.S. actions in the rest of Latin America, which is illustrated by the fact that the United States never sent troops to invade a South American country. While geographic distance and strategic considerations may have played a role, they provide at best incomplete explanations for the U.S.'s relative absence south of Panama. The fact that the United States has had a distinct pattern of interactions with South America is thus not captured by the typical concept of Latin America. In Brazil, the United States, and the South American Subsystem: Regional Politics and the Absent Empire, Carlos Gustavo Poggio Teixeira recuperates the virtually neglected literature on regional subsystems. In so doing, Teixeira maintains that researchers of inter-American relations would greatly benefit from a characterization reflecting actual regional realities more than entrenched preconceptions. Such a characterization involves subdividing the Western Hemisphere in two regional subsystems: North and South America. This subdivision allows for uncovering regional dynamics that can help explain the U.S.'s limited interference in South American affairs compared to the rest of Latin America. This book argues that the role of Brazil as a status quo regional power in South America is the key to understanding this phenomenon. Through a historical analysis focusing on specificcases spanning three centuries, this research demonstrates that Brazil, regardless of particular domestic settings, has deliberately affected the calculations of costs and benefits of a more significant US involvement in South America. While in the past Brazil has taken actions that resulted in increasing the benefits of the U.S.'s limited involvement in South America, in more recent times it has sought to increase the costs of a more significant U.S. presence. Teixeira then considers some of the theoretical and political implications of the framework laid out by this research. Brazil, the United States, and the South American Subsystem is a groundbreaking investigation of U.S.-Latin American relations and the politics of imperialism.'--Publisher's website.