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The Analysis Of Cross-classified Categor
Stephen E. Fienberg
€ 68.53
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Description for The Analysis Of Cross-classified Categor
Paperback. 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. Num Pages: 198 pages, biography. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 237 x 166 x 12. Weight in Grams: 332.
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.
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.
Product Details
Format
Paperback
Publication date
2007
Publisher
Springer-Verlag New York Inc. United States
Number of pages
198
Condition
New
Number of Pages
198
Place of Publication
New York, NY, United States
ISBN
9780387728247
SKU
V9780387728247
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for The Analysis Of Cross-classified Categor
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 ... Read more