The Statistical Analysis of Categorical Data
By Erling B. Andersen
"The Statistical Analysis of Categorical Data" is published by Springer in Dec 13, 2011 - Berlin, Heidelberg and it has 544 pages.
“The Statistical Analysis of Categorical Data” Metadata:
- Title: ➤ The Statistical Analysis of Categorical Data
- Author: Erling B. Andersen
- Number of Pages: 544
- Publisher: Springer
- Publish Date: Dec 13, 2011
- Publish Location: Berlin, Heidelberg
“The Statistical Analysis of Categorical Data” Subjects and Themes:
- Subjects: ➤ Mathematical statistics - Multivariate analysis - Linear models (Statistics) - Data processing - Social sciences - Statistical methods - Statistics - Analyse multivariée - Datenanalyse - Kontingenztafelanalyse - Qualitative Daten - Statistik - Data-analyse - Datastructuren - Sciences sociales - Méthodes statistiques - Statistique - Economics - Statistics for Business/Economics/Mathematical Finance/Insurance
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL28680748M - OL2637044W
- ISBN-13: 9783642788192 - 9783642788178
- ISBN-10: 364278819X
- All ISBNs: 364278819X - 9783642788192 - 9783642788178
AI-generated Review of “The Statistical Analysis of Categorical Data”:
"The Statistical Analysis of Categorical Data" Description:
The Open Library:
This book is about the analysis of categorical data with special emphasis on applications in economics, political science and the social sciences. The book gives a brief theoretical introduction to log-linear modeling of categorical data, then gives an up-to-date account of models and methods for the statistical analysis of categorical data, including recent developments in logistic regression models, correspondence analysis and latent structure analysis. Also treated are the RC association models brought to prominence in recent years by Leo Goodman. New statistical features like the use of association graphs, residuals and regression diagnostics are carefully explained, and the theory and methods are extensively illustrated by real-life data.
Open Data:
This book is about the analysis of categorical data with special emphasis on applications in economics, political science and the social sciences. The book gives a brief theoretical introduction to log-linear modeling of categorical data, then gives an up-to-date account of models and methods for the statistical analysis of categorical data, including recent developments in logistic regression models, correspondence analysis and latent structure analysis. Also treated are the RC association models brought to prominence in recent years by Leo Goodman. New statistical features like the use of association graphs, residuals and regression diagnostics are carefully explained, and the theory and methods are extensively illustrated by real-life data
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