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  • Nonlinear Principal Component Analysis and Its Applications

    Series series Mathematics and Statistics (R0)
    This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the ... 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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    Series series Springer Nature Proceedings excluding Computer Science
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  • Matrix-Based Introduction to Multivariate Data Analysis

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    Series series Mathematics and Statistics (R0)
    This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest ... Read more

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    Series series Mathematics and Statistics (R0)
    This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), ... Read more

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  • Statistical Disclosure Control for Microdata

    Methods and Applications in R

    Series series Mathematics and Statistics (R0)
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  • The Science of Fear

    How the Culture of Fear Manipulates Your Brain

    “An invaluable resource for anyone who aspires to think clearly” (The Guardian) from the New York Times bestselling author of Superforecasting and Future BabbleFrom terror attacks to collapsing economies, from painkiller epidemics to mass gun violence and poisonous toys from China, our list of fears seems to be exploding. Yet we are the safest and healthiest humans in history. Why are we so ... Read more

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  • An Introduction to Statistical Learning

    with Applications in R

    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 ... Read more

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    Series series Mathematics and Statistics (R0)
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  • Applied Statistical Inference

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    This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist ... Read more

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    Methods and Implementation Using R

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    Series series Mathematics and Statistics (R0)
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