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« a ohri »

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  • R for Business Analytics

    par A Ohri ...
    R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to ... En savoir plus

    $108.99 CAD

  • R for Cloud Computing

    An Approach for Data Scientists

    par A Ohri ...
    R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process ... En savoir plus

    $64.99 CAD

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    This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth ... En savoir plus

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  • Business Statistics for Competitive Advantage with Excel 2010

    Basics, Model Building, and Cases

    par Cynthia Fraser ...
    Collections series Mathematics and Statistics (R0)
    Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use ... En savoir plus

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  • R for Marketing Research and Analytics

    par Chris Chapman, Elea McDonnell Feit ...
    Collections series Mathematics and Statistics (R0)
    This bookis a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, ... En savoir plus

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  • Excel 2016 for Business Statistics

    A Guide to Solving Practical Problems

    par Thomas J. Quirk ...
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    This book shows the capabilities of Microsoft Excel in teaching business statistics effectively. Similar to the previously published Excel 2010 for Business Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially ... En savoir plus

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  • Computational Finance

    An Introductory Course with R

    par Argimiro Arratia ...
    Collections series Computer Science (R0)
    The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R. Thus, the first chapter gives an introduction to the ... En savoir plus

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  • Exploratory Data Analysis in Business and Economics

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    In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and ... En savoir plus

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  • An Introduction to R for Quantitative Economics

    Graphing, Simulating and Computing

    par Vikram Dayal ...
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    This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, ... En savoir plus

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  • Nonparametric Statistics

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    Modifié par Ricardo Cao, Wenceslao González Manteiga, Juan Romo ...
    Collections series Springer Nature Proceedings excluding Computer Science
    This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cádiz (Spain) between June 11–16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Statistics ... En savoir plus

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  • Matrix-Based Introduction to Multivariate Data Analysis

    par Kohei Adachi ...
    Collections 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 ... En savoir plus

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  • Basic Elements of Computational Statistics

    par Yarema Okhrin, Ostap Okhrin, Wolfgang Karl Härdle ...
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    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 ... En savoir plus

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