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Showing 1 - 12 of 12 results for “john maindonald”
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  • Data Analysis and Graphics Using R

    An Example-Based Approach

    by John Maindonald, W. John Braun ...
    Series Book 10 - Cambridge Series in Statistical and Probabilistic Mathematics
    Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is ... Read more

    $108.29 USD

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  • Applied Predictive Modeling

    by Max Kuhn, Kjell Johnson ...
    This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic ... Read more

    $58.99 USD

  • Data Analysis Using SAS Enterprise Guide

    by Lawrence S. Meyers, Glenn Gamst, A. J. Guarino ...
    This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of ... Read more

    $66.49 USD

  • Applied Statistical Inference

    Likelihood and Bayes

    by Leonhard Held, Daniel Sabanés Bové ...
    Series series Mathematics and Statistics (R0)
    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

    $62.99 USD

  • Bayesian Essentials with R

    by Christian P. Robert, Jean-Michel Marin ...
    Series series Mathematics and Statistics (R0)
    This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications.Readers are ... Read more

    $98.09 USD

  • Data Management Essentials Using SAS and JMP

    by Julie Kezik, Melissa Hill ...
    SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting ... Read more

    $43.49 USD

  • Python for Probability, Statistics, and Machine Learning

    by José Unpingco ...
    Series 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 ... Read more

    $107.99 USD

  • Multistate Analysis of Life Histories with R

    by Frans Willekens ...
    Series series Mathematics and Statistics (R0)
    This book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in which a single terminal event (endpoint) is considered and the time-to-event is studied. Multistate models focus on life histories or trajectories, conceptualized as sequences of states and sequences of transitions between states. Life histories are modeled as realizations of ... Read more

    $53.99 USD

  • Analysis of Longitudinal Data

    by Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger ...
    Series Book 25 - Oxford Statistical Science Series
    The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear ... Read more

    $54.99 USD

  • Numerical Ecology with R

    by Daniel Borcard, Francois Gillet, Pierre Legendre ...
    Series series Mathematics and Statistics (R0)
    Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The ... Read more

    $76.49 USD

  • Statistical Programming with SAS/IML Software

    by Rick Wicklin ...
    SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML ... Read more

    $54.99 USD

  • Introduction to Nonparametric Statistics for the Biological Sciences Using R

    by Thomas W. MacFarland, Jan M. Yates ...
    Series series Mathematics and Statistics (R0)
    This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:To introduce when nonparametric approaches to data analysis are appropriateTo introduce the leading nonparametric tests commonly used in biostatistics and how R is ... Read more

    $62.99 USD