The statistical analysis of categorical data / Erling B. Andersen

Andersen, Erling B.

ISBN 10: 3540521399 / ISBN 13: 9783540521396

Published by Berlin , Heidelberg , New York , London , Paris , Tokyo , Hong Kong : Springer, 1990

About this Item

Umfang/Format: IX, 522 Seiten : graph. Darst. , 25 cm Anmerkungen: Literaturverz. Seiten 495 - 509 Erscheinungsjahr: 1990 Einbandart und Originalverkaufspreis: fester Pappeinband : DM 178.00 fester Pappeinband This book deals with the analysis of categorical data. Statistical models, especially log-linear models for contingency tables and logistic regression, are described and applied to real life data. Special emphasis is given to the use of graphical methods. The book is intended as a text for both undergraduate and graduate courses for statisticians, applied statisticians, social scientists, economists and epidemiologists. Many examples and exercises with solutions should help the reader to understand the material. gepflegtes Exemplar, nur kleine Lesespuren, Bibliotheksstempel Gern können sie Ihr Buch per Rechnung bestellen.

Seller Inventory # B00015023

Bibliographic Details

• Title: The statistical analysis of categorical data / Erling B. Andersen
• Publisher: Berlin , Heidelberg , New York , London , Paris , Tokyo , Hong Kong : Springer
• Publication Date: 1990
• Language: English
• ISBN 10: 3540521399
• ISBN 13: 9783540521396
• Binding: Hardcover
• Condition: Gut
• Weight: 1900 grams
• Book Type: Hardcover

About this title

Synopsis

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. The book introduces readers to the latest developments in categorical data analysis, and are shown how real life data can be analysed, how conclusions are drawn and how models are modified.