David Peel

Patrick Minford

This is a newly revised second edition of a key macroeconomic textbook. After explaining the historical development of the subject, they show how rational expectations are handled in macro models. The importance of structural micro-founded models is explained, with key examples of such structural models examined in detail and with extensions to the open economy; policy implications are highlighted throughout. Methods for testing these models against macro data behaviour are explained, detailing the latest evidence on these models' success.

A Primer, Second Edition

Advanced Macroeconomics

Christine Erbe

Jessica Redfern

Joshua Nathan Smith

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Impacts of Shipping on Marine Fauna

During the last few decades, commercial gambling has increased substantially throughout the Western world. More people than ever before have access to sources of legalised gambling, leading to bumper revenues for the institutions involved. Naturally enough, this has led to an increased interest in the area of the economics of betting. This book addresses the issues raised by the continued growth of the gambling sector. How can we model the behaviour of people who seemingly act irrationally? What are the implications of different tax policies with regard to gambling? Are casinos capable of taking money away from state-run lotteries and the causes they fund? Can bookmakers’ odds be influenced in such a way as to make the gambling market inefficient? The authors in this volume provide insights based on data from many different countries, including England, the USA, Australia, Spain and Cyprus. This volume brings together work which addresses the economic impact of the huge growth of commercial gambling in the Western world, as well as trying to model the cognitive processes which can explain why individuals are prepared to behave in such apparently irrational ways. This book was published as a special issue of Applied Economics. The academic editor of this journal is Mark P. Taylor.

Economics of Betting Markets

Geoffrey McLachlan

An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts. Major issues discussed in this book include identifiability problems, actual fitting of finite mixtures through use of the EM algorithm, properties of the maximum likelihood estimators so obtained, assessment of the number of components to be used in the mixture, and the applicability of asymptotic theory in providing a basis for the solutions to some of these problems. The author also considers how the EM algorithm can be scaled to handle the fitting of mixture models to very large databases, as in data mining applications. This comprehensive, practical guide: * Provides more than 800 references-40% published since 1995 * Includes an appendix listing available mixture software * Links statistical literature with machine learning and pattern recognition literature * Contains more than 100 helpful graphs, charts, and tables Finite Mixture Models is an important resource for both applied and theoretical statisticians as well as for researchers in the many areas in which finite mixture models can be used to analyze data.

Finite Mixture Models

An up-to-date, comprehensive account of major issues in finitemixture modeling This volume provides an up-to-date account of the theory andapplications of modeling via finite mixture distributions. With anemphasis on the applications of mixture models in both mainstreamanalysis and other areas such as unsupervised pattern recognition,speech recognition, and medical imaging, the book describes theformulations of the finite mixture approach, details itsmethodology, discusses aspects of its implementation, andillustrates its application in many common statisticalcontexts. Major issues discussed in this book include identifiabilityproblems, actual fitting of finite mixtures through use of the EMalgorithm, properties of the maximum likelihood estimators soobtained, assessment of the number of components to be used in themixture, and the applicability of asymptotic theory in providing abasis for the solutions to some of these problems. The author alsoconsiders how the EM algorithm can be scaled to handle the fittingof mixture models to very large databases, as in data miningapplications. This comprehensive, practical guide: * Provides more than 800 references-40% published since 1995 * Includes an appendix listing available mixture software * Links statistical literature with machine learning and patternrecognition literature * Contains more than 100 helpful graphs, charts, and tables Finite Mixture Models is an important resource for both applied andtheoretical statisticians as well as for researchers in the manyareas in which finite mixture models can be used to analyze data.

David Peel

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