The Analysis of Cross-Classified Categorical Data (PDF)
A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of...
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A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents some of the recent work on the statistical analysis of cross-classified data using longlinear models, especially in the multidimensional situation.
- Autor: Stephen E. Fienberg
- 2007, 2nd ed. 2002. 2nd printing 2007, 198 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0387728252
- ISBN-13: 9780387728254
- Erscheinungsdatum: 06.08.2007
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 20 MB
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From the reviews of the second edition:
"This is a great book on the analysis of cross-classified categorical data, particularly for non-statistical readers. The need for analyzing cross-classified categorical data has been growing rapidly … . The loglinear models and maximum-likelihood estimates discussed in this book are very helpful for practitioners to get hands on categorical data and perform sound analyses. This book is comprised of 8 chapters. … is a useful book and I recommend it to data analysts in practical and academic fields." (Zhen Mei, Zentralblatt MATH, Vol. 1134 (12), 2008)
"This Springer edition is a reprint of the first edition published by MIT Press in 1977. … this a useful resource book for applied statisticians with good theoretical background." (Technometrics, Vol. 50 (4), November, 2008)
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