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Analysis of Ordinal Categorical Data Hardcover Alan Agresti
US $18.00
ApproximatelyS$ 23.29
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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eBay item number:389005057919
Item specifics
- Condition
- Book Title
- Analysis of Ordinal Categorical Data Hardcover Alan Agresti
- ISBN
- 9780471890553
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471890553
ISBN-13
9780471890553
eBay Product ID (ePID)
316387
Product Key Features
Number of Pages
304 Pages
Language
English
Publication Name
Analysis of Ordinal Categorical Data
Publication Year
1984
Subject
Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
17.6 Oz
Item Length
9.3 in
Item Width
6.2 in
Additional Product Features
Edition Number
1
Intended Audience
Scholarly & Professional
LCCN
83-023535
Dewey Edition
22
Series Volume Number
178
Illustrated
Yes
Dewey Decimal
519.535
Table Of Content
Basic Results for Cross-Classification Tables. Associations in Multidimensional Tables. Data Analysis Using Loglinear Models. Loglinear Models for Ordinal Variables. Logit Models. Logit Models for an Ordinal Response. Other Models for Ordinal Variables. Measures of Association for Ordinal Variables. Inference for Ordinal Measures of Association. Square Tables with Ordered Categories. Comparison of Ordinal Methods. Appendixes. Bibliography. Index.
Synopsis
Statistical science s first coordinated manual of methods for analyzing ordered categorical data presents applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data provides an introduction to basic descriptive and inferential methods for categorical data and gives thorough coverage of late developments. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. The book also discusses implementation of methods using computer packages such as SAS, SPSSx, and GLIM., Categorical data having ordered categories are common in practice, especially in applications throughout the biomedical and social sciences. Thoroughly updated to reflect developments since the publication of its predecessor, Analysis of Ordinal Categorical Data, Second Edition presents a comprehensive survey of methods for analyzing ordinal categorical data, complete with coverage of the most recent research. The author highlights various modeling techniques, including cumulative logit models with and without proportional odds structure, adjacent-categories logit and continuation-ratio logit models, stereotype models, association models for ordinal odds ratios, and models for clustered ordinal data. Additional features of this Second Edition include: A new chapter on marginal models for multivariate ordinal responses, using maximum likelihood and generalized estimating equations for model fitting A new chapter on random effects models for clustered ordinal data A new chapter on Bayesian approaches for analyzing ordinal data Models and order-restricted inference methods for various types of ordinal odds ratios, including local odds ratios, cumulative odds ratios, and global odds ratios Presentation of non-model-based methods, such as nonparametric rank methods that also apply to ordered categorical data Book jacket.
LC Classification Number
QA276
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