Race mixture, or mestizaje, has played a critical role in the history, culture, and politics of Latin America. In Degrees of Mixture, Degrees of Freedom, Peter Wade draws on a multidisciplinary research study in Mexico, Brazil, and Colombia. He shows how Latin American elites and outside observers have emphasized mixture's democratizing potential, depicting it as a useful resource for addressing problems of racism (claiming that race mixture undoes racial difference and hierarchy), while Latin American scientists participate in this narrative with claims that genetic studies of mestizos can help isolate genetic contributors to diabetes and obesity and improve health for all. Wade argues that, in the process, genomics produces biologized versions of racialized difference within the nation and the region, but a comparative approach nuances the simple idea that highly racialized societies give rise to highly racialized genomics. Wade examines the tensions between mixture and purity, and between equality and hierarchy in liberal political orders, exploring how ideas and scientific data about genetic mixture are produced and circulate through complex networks.

Thermodynamics is an indispensable tool for developing a large and growing fraction of new polymers and polymer blends. These two volumes show the researcher how thermodynamics can be used to rank polymer pairs in order of immiscibility, including the search for suitable chemical structure of compatibilizers. Because of the great current commercial interest in this most dynamic sector of the polymer industry, there is high interest in studying their physical and mechanical properties, their structures, and the processes of their formation and manufacture. These Books are dedicated to Analysis of the Thermodynamics of Polymer Blends. Thermodynamic behavior of blends determines the compatibility of the components, their morphological features, rheological behavior, and microphase structures. As a result, the most important physical and mechanical characteristics of blends can be identified. The information in these two volumes will be useful to all those involved in polymer research, development, analysis and advanced process engineering.

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.

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical examples taken from real-life research problems in

The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.

Advanced Thermodynamics Engineering, Second Edition is designed for readers who need to understand and apply the engineering physics of thermodynamic concepts. It employs a self-teaching format that reinforces presentation of critical concepts, mathematical relationships, and equations with concrete physical examples and explanations of application