Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Trends and Challenges in Categorical Data Analysis: Statistical Modelling and Interpretation

Trends and Challenges in Categorical Data Analysis: Statistical Modelling and Interpretation

Kateri, Maria
Moustaki, Irini

Hardcover

Series: Statistics for Social and Behavioral Sciences

Medical ReferenceGeneral PsychologyProbability & Statistics

ISBN10: 303131185X
ISBN13: 9783031311857
Publisher: Springer Nature
Published: Jul 9 2023
Pages: 315
Weight: 1.40
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data. It gives an overview of a substantive and broad collection of topics in the analysis of categorical data, including association, marginal and graphical models, time series and fixed effects models, as well as modern methods of estimation such as regularization, Bayesian estimation and bias reduction methods, along with new simple measures for model interpretability. Methodological innovations and developments are illustrated and explained through real-world applications, together with useful R packages, allowing readers to replicate most of the analyses using the provided code. The applications span a variety of disciplines, including education, psychology, health, economics, and social sciences.

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