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Applied Categorical and Count Data Analysis.

Author: Wan Tang; Hua He; Xin M Tu
Publisher: Hoboken : CRC Press, 2012.
Series: Chapman & Hall/CRC Texts in Statistical Science.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Introduction Discrete Outcomes Data Source Outline of the BookReview of Key Statistical ResultsSoftwareContingency Tables Inference for One-Way Frequency TableInference for 2 x 2 TableInference for 2 x r TablesInference for s x r TableMeasures of AssociationSets of Contingency Tables Confounding Effects Sets of 2 x 2 TablesSets of s x r TablesRegression Models for Categorical Response Logistic Regression for Binary  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Tang, Wan.
Applied Categorical and Count Data Analysis.
Hoboken : CRC Press, ©2012
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Wan Tang; Hua He; Xin M Tu
ISBN: 9781439897935 143989793X
OCLC Number: 908078598
Description: 1 online resource (380 pages).
Contents: Front Cover; Contents; List of Tables; List of Figures; Preface; 1. Introduction; 2. Contingency Tables; 3. Sets of Contingency Tables; 4. Regression Models for Categorical Response; 5. Regression Models for Count Response; 6. Log-Linear Models for Contingency Tables; 7. Analyses of Discrete Survival Time; 8. Longitudinal Data Analysis; 9. Evaluation of Instruments; 10. Analysis of Incomplete Data; References; Back Cover.
Series Title: Chapman & Hall/CRC Texts in Statistical Science.

Abstract:

Introduction Discrete Outcomes Data Source Outline of the BookReview of Key Statistical ResultsSoftwareContingency Tables Inference for One-Way Frequency TableInference for 2 x 2 TableInference for 2 x r TablesInference for s x r TableMeasures of AssociationSets of Contingency Tables Confounding Effects Sets of 2 x 2 TablesSets of s x r TablesRegression Models for Categorical Response Logistic Regression for Binary ResponseInference about Model ParametersGoodness of FitGeneralized Linear ModelsRegression Models for Polytomous ResponseRegression Models for Count Response Poisson Regression Mode.

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