Information content of data with respect to models.
Am J Physiol
; 245(5 Pt 1): R620-3, 1983 Nov.
Article
em En
| MEDLINE
| ID: mdl-6638208
ABSTRACT
A measure is proposed for the information content of data with respect to models. A model, defined by a set of parameter values in a mathematical framework, is considered a point in a hyperspace. The proposed measure expresses the information content of experimental data as the contribution they make, in units of information bits, in defining a model to within a desired region of the hyperspace. This measure is then normalized to conventional statistical measures of uncertainty. It is shown how the measure can be used to estimate the information of newly planned experiments and help in decisions on data collection strategies.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Modelos Biológicos
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
Am J Physiol
Ano de publicação:
1983
Tipo de documento:
Article