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  • Modeling Techniques in Predictive Analytics

    Business Problems and Solutions with R

    Series series FT Press Analytics
    Today, successful firms compete and win based on analytics. Modeling Techniques in Predictive Analytics brings together all the concepts, techniques, and R code you need to excel in any role involving analytics. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple ... Leer más

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  • Everybody Lies

    Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

    An Economist Best Book of the YearA PBS NewsHour Book of the YearAn Entrepeneur Top Business BookAn Amazon Best Book of the Year in Business and LeadershipNew York Times BestsellerForeword by Steven Pinker, author of The Better Angels of our NatureBlending the informed analysis of The Signal and the Noi... ... Leer más

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  • Analysis of Large and Complex Data

    Series series Springer Nature Proceedings excluding Computer Science
    This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and ... Leer más

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  • Basic Elements of Computational Statistics

    Series series Mathematics and Statistics (R0)
    This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets ... Leer más

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  • Trends and Perspectives in Linear Statistical Inference

    LinStat, Istanbul, August 2016

    Edición de Müjgan Tez, Dietrich von Rosen ...
    Series series Springer Nature Proceedings excluding Computer Science
    This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, ... Leer más

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  • Statistical Methods for Ranking Data

    Series series Mathematics and Statistics (R0)
    This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a ... Leer más

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  • Model-Free Prediction and Regression

    A Transformation-Based Approach to Inference

    Series series Mathematics and Statistics (R0)
    The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current and future data, as opposed to unobservable model parameters and estimates thereof, and yields optimal predictors in diverse ... Leer más

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  • Modern Analytics Methodologies

    Driving Business Value with Analytics

    Series series FT Press Analytics
    Create a complete roadmap for capitalizing on analytics to grow topline revenue and build shareholder value in your unique organization! Modern Analytics Methodologies goes far beyond the classic Analytics Maturity Model to help you overcome the gaps between your current analytics capabilities and where you need to go. Pioneering analytics experts Michele Chambers and Thomas Dinsmore help you ... Leer más

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  • Multivariate Time Series With Linear State Space Structure

    Series series Mathematics and Statistics (R0)
    This book presents a comprehensive study of multivariate time series with linear state space structure. The emphasis is put on both the clarity of the theoretical concepts and on efficient algorithms for implementing the theory. In particular, it investigates the relationship between VARMA and state space models, including canonical forms. It also highlights the relationship between Wiener ... Leer más

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  • Computational Intelligence Methods for Bioinformatics and Biostatistics

    12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2015, held in Naples, Italy, in September, 2015.The 21 revised full papers presented were carefully reviewed and selected from 24 submissions. They present problems concerning computational techniques in ... Leer más

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