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« andrew p beckerman »

1-12 sur 12 résultats pour « andrew p beckerman »
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  • Getting Started with R

    An Introduction for Biologists

    par Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey ...
    R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on ... En savoir plus

    $47.99 CAD

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  • Digital Dice

    Computational Solutions to Practical Probability Problems

    par Paul J. Nahin ...
    Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to get numerical answers to difficult probability ... En savoir plus

    $30.99 CAD

  • Learning R

    A Step-by-Step Function Guide to Data Analysis

    par Richard Cotton ...
    Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything ... En savoir plus

    $47.99 CAD

  • Regression Modeling Strategies

    With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

    par Frank E. Harrell , Jr. ...
    Collections series Mathematics and Statistics (R0)
    This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address ... En savoir plus

    $128.09 CAD

  • Exercises and Projects for The Little SAS Book, Sixth Edition

    par Rebecca A. Ottesen, Lora D. Delwiche, Susan J. Slaughter ...
    Hone your SAS skills with Exercises and Projects for The Little SAS Book, Sixth Edition!Now in its sixth edition, the best-selling The Little SAS Book just keeps getting better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming. Rebecca Ottesen has once again teamed up with the authors of The Little SAS Book, Lora Delwiche and Susan Slaughter, to ... En savoir plus

    $19.99 CAD

  • Biostatistics and Computer-based Analysis of Health Data using Stata

    par Christophe Lalanne, Mounir Mesbah ...
    This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This ... En savoir plus

    $115.99 CAD

  • Modeling Psychophysical Data in R

    par Kenneth Knoblauch, Laurence T. Maloney ...
    Collections series Mathematics and Statistics (R0)
    Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, ... En savoir plus

    $108.89 CAD

  • Python for Probability, Statistics, and Machine Learning

    par José Unpingco ...
    Collections series Engineering (R0)
    This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes ... En savoir plus

    $140.99 CAD

  • Bayesian Networks in R

    with Applications in Systems Biology

    par Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre ...
    Collections series Mathematics and Statistics (R0)
    Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on ... En savoir plus

    $108.99 CAD

  • Analyzing Compositional Data with R

    par K. Gerald van den Boogaart, Raimon Tolosana-Delgado ...
    Collections series Mathematics and Statistics (R0)
    This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization ... En savoir plus

    $83.29 CAD

  • An Introduction to R for Quantitative Economics

    Graphing, Simulating and Computing

    par Vikram Dayal ...
    Collections series Economics and Finance (R0)
    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

    $83.99 CAD

  • Vector Generalized Linear and Additive Models

    With an Implementation in R

    par Thomas W. Yee ...
    Collections series Mathematics and Statistics (R0)
    This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be ... En savoir plus

    $140.89 CAD