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  • Matrix Algebra

    Theory, Computations and Applications in Statistics

    Series series Mathematics and Statistics (R0)
    This book presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and previous editions had essential updates and comprehensive coverage on critical topics in mathematics.This 3rd ... Read more

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  • Matrix Algebra

    Theory, Computations and Applications in Statistics

    Series series Mathematics and Statistics (R0)
    This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides ... Read more

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  • Handbook of Computational Statistics

    Concepts and Methods

    Series series Mathematics and Statistics (R0)
    The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It ... Read more

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  • Handbook of Computational Finance

    Series series Mathematics and Statistics (R0)
    Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of ... Read more

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    A Concise Course in Statistical Inference

    Series series Mathematics and Statistics (R0)
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  • Condition

    The Geometry of Numerical Algorithms

    Series series Mathematics and Statistics (R0)
    This book gathers threads that have evolved across different mathematical disciplines into seamless narrative. It deals with condition as a main aspect in the understanding of the performance ---regarding both stability and complexity--- of numerical algorithms. While the role of condition was shaped in the last half-century, so far there has not been a monograph treating this subject in a uniform ... Read more

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  • Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

    Series series Mathematics and Statistics (R0)
    This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, ... Read more

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  • A SAS/IML Companion for Linear Models

    Series series Mathematics and Statistics (R0)
    Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas behind attractive user interfaces. This book bridges that gap, demonstrating theory put into practice ... Read more

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  • Statistical Analysis for High-Dimensional Data

    The Abel Symposium 2014

    Series series Springer Nature Proceedings excluding Computer Science
    This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014.The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic applications. The contributors, who are among the most ... Read more

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    Series series Engineering (R0)
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    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 ... Read more

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  • The Improbability Principle

    Why Coincidences, Miracles, and Rare Events Happen Every Day

    by David J. Hand ...
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