Mathematical Primer for Social Statistics at Meripustak

Mathematical Primer for Social Statistics

Books from same Author: John Fox

Books from same Publisher: Sage Publishing

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  • General Information  
    Author(s)John Fox
    PublisherSage Publishing
    Edition2nd Edition
    ISBN9781071833209
    Pages258
    BindingSoftcover
    LanguageEnglish
    Publish YearJanuary 2021

    Description

    Sage Publishing Mathematical Primer for Social Statistics by John Fox

    A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.