Direction Dependence in Statistical Modeling: Methods of Analysis
Methods of Analysis
1st Edition
Published on 12. October 2020
Book
Hardback
432 pages
978-1-119-52307-9 (ISBN)
Description
This edited book examines current methods for the statistical analysis of hypotheses that are compatible with direction dependence. The proposed book is divided in four parts, each consisting of two or more chapters, for a total of 14 chapters. The first part of this book introduces the fundamental concepts of direction dependence in statistical models. The authors provide a historical view on the origins of studying the direction of dependence in a regression line. Various classes of copulas with directional dependence properties are introduced. In addition, an introduction into copula regression functions and concomitants of order statistics in directional dependence modeling is given. Part II of the proposed book is devoted to recent developments and advances in direction dependence modeling of continuous variables and contains six chapters. The author demonstrates the benefits of incorporating concepts of direction dependence to identify causal models. Part III of the proposed volume introduces direction dependence methods for the categorical variable case. Finally, Part IV of the proposed book is devoted to substantive theory and real-world applications and consists of four chapters. The author introduces custom dialogs and macros in SPSS to make direction dependence analysis accessible to applied empirical researchers.
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Other editions
Additional editions
Wolfgang Wiedermann | Daeyoung Kim | Engin A. Sungur
Direction Dependence in Statistical Modeling
Methods of Analysis
E-Book
11/2020
1st Edition
Wiley
€120.99
Available for download
Wolfgang Wiedermann | Daeyoung Kim | Engin A. Sungur
Direction Dependence in Statistical Modeling
Methods of Analysis
E-Book
11/2020
1st Edition
Wiley
€120.99
Available for download
Content
ABOUT THE EDITORS
NOTES ON CONTRIBUTORS
ACKNOWLEDGMENTS
PREFACE
PART I: FUNDAMENTAL CONCEPTS OF DIRECTION DEPENDENCE
1. From Correlation to Direction Dependence Analysis: 1888-2018
Yadolah Dodge and Valentin Rousson
2. Direction Dependence Analysis: Statistical Foundations and Applications
Wolfgang Wiedermann, Xintong Li, and Alexander von Eye
3. The Use of Copulas for Directional Dependence Modeling
Engin Sungur
PART II: DIRECTION DEPENDENCE IN CONTINUOUS VARIABLES
4. Asymmetry Properties of the Partial Correlation Coefficient: Foundations for Covariate-Adjustment in Distribution-based Direction Dependence Analysis
Wolfgang Wiedermann
5. Recent Advances in Semi-Parametric Methods for Causal Discovery
Shohei Shimizu and Patrick Blöbaum
6. Assumption Checking for Directional Causality Analyses
Phillip K. Wood
7. Complete Dependence: A survey
Santi Tasena
PART III: DIRECTION DEPENDENCE IN CATEGORICAL VARIABLES
8. Locating Direction Dependence using Log-Linear Modeling, Configural Frequency Analysis, and Prediction Analysis
Alexander von Eye and Wolfgang Wiedermann
9. Recent Development on Asymmetric Association Measures for Contingency Tables
Xiaonan Zhu, Zheng Wei and Tonghui Wang
10. Analysis of asymmetric dependence for three-way contingency tables using the subcopula approach
Daeyoung Kim and Zheng Wei
PART IV: APPLICATIONS AND SOFTWARE
11. Distribution-based Causal Inference: A Review and Practical Guidance for Epidemiologists
Tom Rosenström and Regina García-Velázquez
12. Determining causality in relation to early risk factors for ADHD: The case of breastfeeding duration
Joel T. Nigg, Diane D. Stadler, Alexander von Eye and Wolfgang Wiedermann
13. Direction of Effect between Intimate Partner Violence and Mood Lability: A Granger Causality Model
G. Anne Bogat, Alytia A. Levendosky, Jade Kobayashi and Alexander von Eye
14. On the Causal Relation of Academic Achievement and Intrinsic Motivation: An Application of Direction Dependence Analysis using SPSS Custom Dialogs
Xintong Li and Wolfgang Wiedermann
Index