Format:
xvi, 714 Seiten
,
Illustrationen, Diagramme
Edition:
Third edition
ISBN:
9780470463635
,
0470463635
Series Statement:
Wiley series in probability and statistics
Content:
"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available"--
Note:
Literaturverzeichnis: Seite 643-688
Additional Edition:
Erscheint auch als Online-Ausgabe Agresti, Alan, 1947 - Categorical data analysis Hoboken, NJ : Wiley-Interscience, 2013 ISBN 9780470463635
Additional Edition:
Erscheint auch als Online-Ausgabe Agresti, Alan, 1947 - Categorical data analysis Hoboken, New Jersey : Wiley-Interscience, 2013 ISBN 9781118710852
Language:
English
Subjects:
Economics
,
Psychology
,
Mathematics
,
Sociology
Keywords:
Multivariate Analyse
;
Verallgemeinertes lineares Modell
;
Logit-Modell
;
Kategoriale Daten
