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  • Categorical Data Analysis

    par Alan Agresti ...
    Collections series Wiley Series in Probability and Statistics
    Praise for the Second Edition"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."—Statistics in Medicine"It is a total delight reading this book."—Pharmaceutical Research"If you do any analysis of categorical data, this is an essential desktop reference."—TechnometricsThe use of statistical methods for analyzing categorical data has increased ... ... En savoir plus

    $185.99 CAD

  • Foundations of Bayesian Statistics for Data Scientists

    With R and Python

    Collections series Chapman & Hall/CRC Texts in Statistical Science
    This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science. It is designed as a textbook for advanced undergraduate and master’s students in Data Science, Statistics, or Mathematics who are interested in learning about Bayesian statistics.The reader should be familiar with calculus and should have taken a statistical inference ... En savoir plus

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  • Foundations of Statistics for Data Scientists

    With R and Python

    Collections series Chapman & Hall/CRC Texts in Statistical Science
    Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical ... En savoir plus

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  • Foundations of Linear and Generalized Linear Models

    par Alan Agresti ...
    Collections series Wiley Series in Probability and Statistics
    A valuable overview of the most important ideas and results in statistical modelingWritten by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the ... En savoir plus

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  • An Introduction to Categorical Data Analysis

    par Alan Agresti ...
    Collections series Wiley Series in Probability and Statistics
    A valuable new edition of a standard referenceThe use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that ... En savoir plus

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  • Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.

    Modifié par Alan Agresti, Xiao-Li Meng ...
    Collections series Mathematics and Statistics (R0)
    Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people ... En savoir plus

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  • Analysis of Ordinal Categorical Data

    par Alan Agresti ...
    Collections Livre 656 - Wiley Series in Probability and Statistics
    Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for ... En savoir plus

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    par Jay Weinstein ...
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  • Microeconometrics

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    This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics ... En savoir plus

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  • Python for Probability, Statistics, and Machine Learning

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    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

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  • Generalized Linear Models for Insurance Data

    Collections series International Series on Actuarial Science
    This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family ... En savoir plus

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  • Negative Binomial Regression

    par Joseph M. Hilbe ...
    This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, ... En savoir plus

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