Stephen E. Fienberg

eBook, PDF

The Analysis of Cross-Classified Categorical Data (eBook, PDF)

Beschreibung

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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 20.27MB

Barrierefreiheit

• Text-to-Speech

Autor

Stephen Fienberg, Carnegie-Mellon University, Pittsburgh, PA, USA

Produktdetails

• Verlag: Springer New York
• Seitenzahl: 198
• Erscheinungstermin: 6. August 2007
• Englisch
• ISBN-13: 9780387728254
• Artikelnr.: 37286083

Rezensionen

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)