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