Direction Dependence in Statistical Modeling is popular PDF and ePub book, written by Wolfgang Wiedermann in 2020-11-24, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Direction Dependence in Statistical Modeling can be Read Online from any device for your convenience.
Direction Dependence in Statistical Modeling Book PDF Summary
Covers the latest developments in direction dependence research Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, direction dependence methods have attracted growing attention due to their potential to help decide which of two competing statistical models is more likely to reflect the correct causal flow. The book covers several topics in-depth, including: A demonstration of the importance of methods for the analysis of direction dependence hypotheses A presentation of the development of methods for direction dependence analysis together with recent novel, unpublished software implementations A review of methods of direction dependence following the copula-based tradition of Sungur and Kim A presentation of extensions of direction dependence methods to the domain of categorical data An overview of algorithms for causal structure learning The book's fourteen chapters include a discussion of the use of custom dialogs and macros in SPSS to make direction dependence analysis accessible to empirical researchers.
Detail Book of Direction Dependence in Statistical Modeling PDF
- Author : Wolfgang Wiedermann
- Release : 24 November 2020
- Publisher : John Wiley & Sons
- ISBN : 9781119523147
- Genre : Mathematics
- Total Page : 432 pages
- Language : English
- PDF File Size : 19,6 Mb
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