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