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Statistical Models in S
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.
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The Macrophage as Therapeutic Target
During the past decade, the rapid growth of molecular and cellular knowledge of macrophages, as a specialized host defense and homeostatic system, has begun to offer attractive targets for therapeutic intervention. Macrophages play a central role in a wide range of disease processes, from genetically determined lysosomal storage diseases, to acute sepsis, chronic inflammation and repair, tissue injury and cell death. Under- or overactivity of macrophage clearance, immune effector functions and responses to metabolic abnormalities contribute to common disorders such as autoimmunity, atherosclerosis, Alzheimer’s disease and major infections including AIDS and Tuberculosis. Whilst the goals o...
Changing Concepts of the Nervous System
Changing Concepts of the Nervous System, presents the proceedings of the First Institute of Neurological Sciences Symposium in Neurobiology, held at the University of Pennsylvania in October 1980. The book is divided into four parts consisting of mini symposia on different aspects of the neurosciences. The first mini symposia discuss the anatomical, physiological, developmental, and behavioral plasticity of the nervous system. The second mini symposia cover the changing concepts of the central visual system. The idea of the biological basis of the concept of motivation and its behavioral manifestations from both theoretical and experimental aspects is examined in the third mini symposia. The final mini symposia tackle the four aspects of studies on memory: amnesia (consolidation and retrieval), the role of catecholamines, the role of proteins, and the role of peptides. Anatomists, neurobiologists, neuroscientists, and students and researchers in the field of neuroscience will find the book invaluable.
New Perspectives in Statistical Modeling and Data Analysis
This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.
Extending R
Up-to-Date Guidance from One of the Foremost Members of the R Core Team Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R. The book first describes the fundamental characteristics and background of R, giving readers a foundation for the remainder of the text. It next discusses topics relevant to programming with R, including the apparatus that supports extensions. The book then extends R’s data structures through object-oriented programming, which is the key technique for coping with complexity. The book also incorporates a new structure for interfaces applicable to a variety of languages. A reflection of what R is today, this guide explains how to design and organize extensions to R by correctly using objects, functions, and interfaces. It enables current and future users to add their own contributions and packages to R. A 2017 Choice Outstanding Academic Title
