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  • Regression

    Models, Methods and Applications

    Collections series Mathematics and Statistics (R0)
    Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important ... En savoir plus

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  • Practical Smoothing

    The Joys of P-splines

    This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, discrete, roughness penalties. They were introduced by the authors in 1996 and have been used in many diverse applications. The regression basis makes it straightforward to handle non-normal data, like in generalized linear models. The authors ... En savoir plus

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  • The SAGE Handbook of Multilevel Modeling

    In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling.The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the ... En savoir plus

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  • An Introduction to Statistical Learning

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    Collections series Mathematics and Statistics (R0)
    An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant ... En savoir plus

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  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    Collections Livre 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... En savoir plus

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  • System Identification

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  • Generalized Additive Models

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    The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before ... En savoir plus

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  • Response Surface Methodology

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