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  • R by Example

    Series series Mathematics and Statistics (R0)
    Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data.The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are ... Read more

    $98.09 USD

  • The Energy of Data and Distance Correlation

    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Energy distance is a statistical distance between the distributions of random vectors, which characterizes equality of distributions. The name energy derives from Newton's gravitational potential energy, and there is an elegant relation to the notion of potential energy between statistical observations. Energy statistics are functions of distances between statistical observations in metric spaces. ... Read more

    $77.99 USD

  • Statistical Computing with R, Second Edition

    Series series Chapman & Hall/CRC The R Series
    Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an ... Read more

    $120.99 USD

  • Drones in the Digital European Sky

    Theoretical Foundations and Aviation Law Perspectives

    Series series Law and Criminology (R0)
    Originating from the PRIN 2022 research project “ATM, Drones and D.A.N.T.E. (Digitalization, Artificial Intelligence and New Technologies for Environment),” this open access book focuses on the fundamental epistemological transformation in aviation law sparked by the advent of Unmanned Aircraft Systems (UAS). The authors investigate how rapid technological advances and autonomous agents challenge ... Read more

    Free

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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

    $62.99 USD

  • R Statistics Cookbook

    Over 100 recipes for performing complex statistical operations with R 3.5

    Solve real-world statistical problems using the most popular R packages and techniquesKey FeaturesLearn how to apply statistical methods to your everyday research with handy recipesFoster your analytical skills and interpret research across industries and business verticalsPerform t-tests, chi-squared tests, and regression analysis using modern statistical techniquesBook DescriptionR is a popular ... Read more

    $19.99 USD or Free with Kobo Plus

  • Financial Modelling

    Theory, Implementation and Practice with MATLAB Source

    Series series The Wiley Finance Series
    Financial modellingTheory, Implementation and Practice with MATLAB SourceJörg Kienitz and Daniel WetterauFinancial Modelling - Theory, Implementation and Practice with MATLAB Source is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for ... Read more

    $106.00 USD

  • Generalized Additive Models

    An Introduction with R, Second Edition

    by Simon N. Wood ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before ... Read more

    $125.99 USD

  • Introduction to Machine Learning with R

    Rigorous Mathematical Analysis

    Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.Finally, you ... Read more

    $34.59 USD

  • Modern Time Series Forecasting with Python

    Explore industry-ready time series forecasting using modern machine learning and deep learning

    by Manu Joseph ...
    Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of ... Read more

    $38.69 USD or Free with Kobo Plus

  • A Course in Statistics with R

    Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in ... Read more

    $94.00 USD

  • Probability and Statistics for Data Science

    Math + R + Data

    Series series Chapman & Hall/CRC Data Science Series
    Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously:* Real datasets are used extensively.* All data analysis is supported by R coding.* Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, ... Read more

    $89.99 USD