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Confirmation and Chaos.

Suggests that the concern shown by Rueger and Sharp (1996) and Koperski (19980 that certain procedural accounts of model confirmation are compromised by non-linear dynamics are better approached by considering whether chaotic data analysis methods allow for reliable inference from data. Framework a...

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Publicado en:Philosophy of Science Vol. 69; no. 2; pp. 256 - 266
Autores principales: Harrell, Maralee, Glymour, Clark
Formato: Artículo
Publicado: Cambridge University Press Jun2002
Materias:
Confirmation (Logic)
Chaos theory
Simulation methods & models
Methodology
Nonlinear systems
Acceso en línea:Ver este registro en EBSCOhost
Sumario:Suggests that the concern shown by Rueger and Sharp (1996) and Koperski (19980 that certain procedural accounts of model confirmation are compromised by non-linear dynamics are better approached by considering whether chaotic data analysis methods allow for reliable inference from data. Framework and example of this approach.