A model validation scale based on multiple indices

Validation of an estimated model is not a trivial task because it depends on the purpose of the model, which usually defines the most important features of the model. Thus, in a validation process, the use of diverse tools that exploit different domains is recommended. Here, with this aim, a scale for model validation is proposed that combines the Normalized Root Mean Square Error (NRMSE) with two new indices: the coherence-based index and the fourth-order cross-cumulant index. The proposed scale was used for the validation of three models: the Logistic Map, the Duffing–Ueda oscillator, and the Buck converter. The results demonstrated that the proposed model validation scale produces a more complete validation process that takes into account both time and frequency information and provides robustness against Gaussian noise

Agricultura e biodiversidade nas ciências sociais brasileiras: alimentando a comunicação entre ciência e políticas públicas.

O presente artigo decorre de uma reflexão sustentada em dois pressupostos: a) que as ciências e, em particular, as sociais, podem contribuir para informar as tomadas de decisão e a formulação de políticas públicas visando a melhoria da vida das pessoas no planeta e b) que o papel da agricultura na conservação da biodiversidade é uma questão atual de extrema relevância e que merece ser aprofundada. A relação entre a agricultura e a biodiversidade tem sido objeto de questionamentos recentes na sociedade e no campo das políticas públicas. Contudo, se os estudos relacionados à biodiversidade e à agricultura, separadamente, têm observado um considerável crescimento no Brasil, poucos são os investimentos de pesquisa sobre a relação entre esses dois grandes temas. A partir dessas considerações, seguimos dois objetivos principais: 1) investigar como o papel da agricultura familiar na preservação da biodiversidade tem sido abordado pelas Ciências Sociais no Brasil, particularmente nos artigos publicados em periódicos brasileiros nos últimos 20 anos; 2) testar uma metodologia de revisão bibliográfica, criteriosa, que possa ser útil aos tomadores de decisão em políticas públicas e demais interessados

A model validation scale based on multiple indices

Validation of an estimated model is not a trivial task because it depends on the purpose of the model, which usually defines the most important features of the model. Thus, in a validation process, the use of diverse tools that exploit different domains is recommended. Here, with this aim, a scale for model validation is proposed that combines the Normalized Root Mean Square Error (NRMSE) with two new indices: the coherence-based index and the fourth-order cross-cumulant index. The proposed scale was used for the validation of three models: the Logistic Map, the Duffing–Ueda oscillator, and the Buck converter. The results demonstrated that the proposed model validation scale produces a more complete validation process that takes into account both time and frequency information and provides robustness against Gaussian noise

A model validation scale based on multiple indices

Validation of an estimated model is not a trivial task because it depends on the purpose of the model, which usually defines the most important features of the model. Thus, in a validation process, the use of diverse tools that exploit different domains is recommended. Here, with this aim, a scale for model validation is proposed that combines the Normalized Root Mean Square Error (NRMSE) with two new indices: the coherence-based index and the fourth-order cross-cumulant index. The proposed scale was used for the validation of three models: the Logistic Map, the Duffing–Ueda oscillator, and the Buck converter. The results demonstrated that the proposed model validation scale produces a more complete validation process that takes into account both time and frequency information and provides robustness against Gaussian noise