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Die Analyse klassifizierter kategorialer Daten, Fienberg, Stephen E., 9780387-
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eBay-Artikelnr.:236224084166
Artikelmerkmale
- Artikelzustand
- Book Title
- The Analysis of Cross-Classified Categorical Data
- ISBN
- 9780387728247
Über dieses Produkt
Product Identifiers
Publisher
Springer New York
ISBN-10
0387728244
ISBN-13
9780387728247
eBay Product ID (ePID)
60418852
Product Key Features
Number of Pages
Xiv, 198 Pages
Language
English
Publication Name
Analysis of Cross-Classified Categorical Data
Subject
Probability & Statistics / Multivariate Analysis, Probability & Statistics / General, Probability & Statistics / Regression Analysis
Publication Year
2007
Features
Revised
Type
Textbook
Subject Area
Mathematics
Format
Perfect
Dimensions
Item Height
0.2 in
Item Weight
24.3 Oz
Item Length
8.3 in
Item Width
5.8 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
TitleLeading
The
Reviews
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), 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)
Dewey Edition
19
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.53
Table Of Content
Two-Dimensional Tables.- Three-Dimensional Tables.- Selection of a Model.- Four- and Higher-Dimensional Contingency Tables.- Fixed Margins and Logit Models.- Causal Analysis Involving Logit and Loglinear Models.- Fixed and Random Zeros.
Edition Description
Revised edition
Synopsis
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. Originally published in 1980, this book has sold more than 10,000 copies., 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., 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.
LC Classification Number
QA276-280
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