An Entropy-Based Approach to Path Analysis of Structural Generalized Linear Models: A Basic Idea

نویسندگان

  • Nobuoki Eshima
  • Minoru Tabata
  • Claudio Giovanni Borroni
  • Yutaka Kano
چکیده

A path analysis method for causal systems based on generalized linear models is proposed by using entropy. A practical example is introduced, and a brief explanation of the entropy coefficient of determination is given. Direct and indirect effects of explanatory variables are discussed as log odds ratios, i.e., relative information, and a method for summarizing the effects is proposed. The example dataset is re-analyzed by using the method.

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عنوان ژورنال:
  • Entropy

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2015