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1-12 sur 12 résultats pour « a c davison »
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  • Bootstrap Methods and their Application

    par A. C. Davison, D. V. Hinkley ...
    Collections Livre 1 - Cambridge Series in Statistical and Probabilistic Mathematics
    Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with ... En savoir plus

    $112.99 CAD

  • Statistical Models

    par A. C. Davison ...
    Collections Livre 11 - Cambridge Series in Statistical and Probabilistic Mathematics
    Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, ... En savoir plus

    $74.99 CAD

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  • An Introduction to Statistical Learning

    with Applications in R

    par Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani ...
    Collections 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 ... En savoir plus

    $83.29 CAD

  • A First Course in Statistical Programming with R

    par W. John Braun, Duncan J. Murdoch ...
    This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground ... En savoir plus

    $52.99 CAD

  • Data Analysis Using SAS Enterprise Guide

    par 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 ... En savoir plus

    $74.99 CAD

  • Geostatistics Explained

    An Introductory Guide for Earth Scientists

    par Steve McKillup, Melinda Darby Dyar ...
    A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of ... En savoir plus

    $69.99 CAD

  • Impossible?

    Surprising Solutions to Counterintuitive Conundrums

    par Julian Havil ...
    "This sequel to the author's book Nonplussed! supplies another set of brain-stretching problems and ideas . . . following in the Martin Gardner tradition." —Alan Stevens, Mathematics TodayIn Nonplussed!, popular-math writer Julian Havil delighted readers with a mind-boggling array of implausible yet true mathematical paradoxes. Now Havil is back with Impossible?, another marve... ... En savoir plus

    $15.19 CAD ou Gratuit avec Kobo Plus

  • Applied Longitudinal Data Analysis

    Modeling Change and Event Occurrence

    par Judith D. Singer, John B. Willett ...
    Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting ... En savoir plus

    $144.79 CAD

  • Modeling and Reasoning with Bayesian Networks

    par Adnan Darwiche ...
    This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate ... En savoir plus

    $79.99 CAD

  • A First Course in Statistical Programming with R

    par W. John Braun, Duncan J. Murdoch ...
    This new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, ... En savoir plus

    $42.99 CAD

  • Data Analysis and Graphics Using R

    An Example-Based Approach

    par John Maindonald, W. John Braun ...
    Collections Livre 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 ... En savoir plus

    $121.99 CAD

  • Bayesian Methods for Ecology

    par Michael A. McCarthy ...
    The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are ... En savoir plus

    $59.19 CAD