An Entropy-Based Approach to Path Analysis of Structural Generalized Linear Models: A Basic Idea
| Autor: | Claudio Giovanni Borroni, Nobuoki Eshima, Minoru Tabata, Yutaka Kano |
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| Přispěvatelé: | Eshima, N, Tabata, M, Borroni, C, Kano, Y |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Imagination
Generalized linear model Mathematical optimization Log odds media_common.quotation_subject General Physics and Astronomy lcsh:Astrophysics lcsh:QC1-999 Generalized linear mixed model Uncertainty coefficient Causal system log odds ratio entropy coefficient of determination generalized linear model lcsh:QB460-466 SECS-S/01 - STATISTICA direct effect Entropy (information theory) Applied mathematics lcsh:Q lcsh:Science lcsh:Physics Mathematics media_common indirect effect |
| Zdroj: | Entropy Volume 17 Issue 7 Pages 5117-5132 Entropy, Vol 17, Iss 7, Pp 5117-5132 (2015) |
| ISSN: | 1099-4300 |
| DOI: | 10.3390/e17075117 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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