| Registro completo |
| Provedor de dados: |
Ciência Rural
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| País: |
Brazil
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| Título: |
Multivariate analysis and neural networks application to price forecasting in the Brazilian agricultural market
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| Autores: |
Pinheiro,Carlos Alberto Orge
Senna,Valter de
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| Data: |
2017-01-01
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| Ano: |
2017
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| Palavras-chave: |
Neural networks
Multivariate analysis
Agricultural products
Forecasting
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| Resumo: |
ABSTRACT: The purpose of this study is to apply the methodology proposed by PINHEIRO & SENNA (2015) to a set of agricultural products traded in Brazil. The multivariate and nonlinear character of this methodology has shown to be suitable, as compared to the neural network model, since it allows for a better predictive performance. Results obtained in an out-of-sample period, by using the calculated error and statistical test, confirmed this statement. This study will be useful to farmers as price forecasting based on their tendency is relevant.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000100931
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| Editor: |
Universidade Federal de Santa Maria
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| Relação: |
10.1590/0103-8478cr20160077
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| Formato: |
text/html
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| Fonte: |
Ciência Rural v.47 n.1 2017
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| Direitos: |
info:eu-repo/semantics/openAccess
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