The Analysis of Cross-Classified Categorical Data
Summary
The feel-good place to buy books
The Analysis of Cross-Classified Categorical Data by Stephen E Fienberg
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.From the reviews of the second edition:
"This is a great book on the analysis of cross-classified categorical data, particularly for non-statistical readersThe 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)
| SKU | Unavailable |
| ISBN 13 | 9780387728247 |
| ISBN 10 | 0387728244 |
| Title | The Analysis of Cross-Classified Categorical Data |
| Author | Stephen E.Fienberg |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2007-07-30 |
| Number of pages | 198 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
