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PROJE??ES DA PRODU??O DE CELULOSE DE FIBRA CURTA NO BRASIL

机译:巴西短纤维纤维素生产项目

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Com base em uma série temporal anual de produ??o de celulose de fibra curta no Brasil no período de 1950 a 2009, o presente trabalho objetivou analisar a eficiência da metodologia Box & Jenkins em prever a produ??o. O modelo mais adequado foi escolhido com base nos critérios de AIC e SCH, na significancia dos coeficientes, no princípio de parcim?nia e no comportamento dos resíduos. Pelos resultados, conclui-se que o modelo ARIMA (2,2,1) é adequado para prever a produ??o de celulose de fibra curta no Brasil.Palavras-chave: Celulose de fibra curta; séries temporais; metodologia Box & Jenkins.?AbstractProjections of short fiber cellulose production in Brazil. Based on an annual production series of hardwood pulp in Brazil from 1950 to 2009, this study aimed to analyze efficiency of the Box & Jenkins methodology to forecast production.?The most appropriate model was chosen based on the AIC and SCH criteria, on the significance of coefficients, on the principle of parsimony and residual behavior. The results points to the ARIMA (2,2,1) model as the most adequate to forecast the hardwood pulp production in Brazil.Keywords: Hardwood pulp; time series; Box & Jenkins methodology.
机译:基于1950年至2009年巴西硬木纸浆生产的年度时间序列,本研究旨在分析Box&Jenkins方法在预测产量方面的效率。根据AIC和SCH的标准,系数的意义,简约性的原理和残基的行为选择最合适的模型。根据结果​​可以得出结论,ARIMA模型(2,2,1)足以预测巴西的短纤维纤维素的产量。时间序列; Box&Jenkins方法论。摘要巴西短纤维纤维素产量的预测。基于1950年至2009年巴西硬木纸浆的年产量系列,本研究旨在分析Box&Jenkins方法对产量的预测效率。根据AIC和SCH标准选择了最合适的模型,的系数,基于简约和残差行为原理。结果表明,ARIMA(2,2,1)模型最适合预测巴西的硬木纸浆产量。时间序列; Box&Jenkins方法论。

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