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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 ... Leer más

    $80.99 USD

  • 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 ... Leer más

    $116.09 USD

  • 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 ... Leer más

    $287.09 USD

  • 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 ... Leer más

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  • All of Statistics

    A Concise Course in Statistical Inference

    Series series Mathematics and Statistics (R0)
    Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics ... Leer más

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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 ... Leer más

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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, ... Leer más

    $49.99 USD

  • 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 ... Leer más

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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 ... Leer más

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  • EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

    Series series Engineering (R0)
    This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The ... Leer más

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  • An Introduction to Statistical Learning

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    Series 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 ... Leer más

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  • The Improbability Principle

    Why Coincidences, Miracles, and Rare Events Happen Every Day

    de David J. Hand ...
    "Human beings are a superstitious lot; we see patterns everywhere. But as Hand makes clear in this enlightening book, it all comes down to the math." —Jennifer Ouellette, The New York Times Book ReviewA Success Magazine Best Book of the YearIn The Improbability Principle, the renowned statistician David J. Hand argues that extraordinarily rare events are anythi... ... Leer más

    $2.99 USD o gratis con Kobo Plus