This book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
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The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel ...
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Applied Quantitative Finance (2nd edition) provides a comprehensive and state-of-the-art treatment of cutting-edge topics ...
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The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
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Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic ...
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This book presents innovative techniques in Recognition and Classification of Astrophysical and Medical Images. The contents ...
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Economics went through great development in the 20th century. This development, which was based mainly on mathematical methods, ...
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The present volume focuses on three main subtopics (biological water, protein solutions as well as transport and replication), ...
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R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
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This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
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This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based ...
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This book deals with many topics in modern financial mathematics in a way that does not use advanced mathematical tools and ...
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This book including clustering and classification, gene expression analysis, gene networks, genome analysis, motif finding, ...
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This book including clustering and classification, gene expression analysis, gene networks, genome analysis, motif finding, ...
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The progressive affirmation of evidence-based medicine requires radiology to make a qualitative leap: from demonstrating ...
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There are a variety of combinatorial optimization problems that are relevant to the examination of statistical data. Combinatorial ...
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Lays out a vision for a coherent framework for understanding complex systems'' (from the foreword by J. Doyne Farmer). ...
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International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
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International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section ...
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Presents methodological developments in Applied/Computational Statistics. This work covers a range of topics including Advances ...
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