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AR(p)模型在预测黑荆树林分月总生长量中的应用
引用本文:邱学清 王姚康. AR(p)模型在预测黑荆树林分月总生长量中的应用[J]. 福建林学院学报, 1989, 9(1): 43-49
作者姓名:邱学清 王姚康
作者单位:福建林学院林学系(邱学清,江希钿,黄健儿),福安县林业局(王姚康),福安县林业局(陈鼎源)
摘    要:本文应用时间序列分析方法,建立黑荆树林分总生长量的AR(p)模型,据以预测未来林分平均直径、平均高、蓄积量的月总生长量,其预测误差分别不超过±2%、±4%和±5%有较高的预测精度,在生产上具有一定的实用价值。

关 键 词:时间序列分析  生长量  黑荆树

The Time Series AR(P) Model Used in Estimating Monthly Increment on the Wattle Stand
Khiu Sickchen Jiang Xidian Huang Jianer. The Time Series AR(P) Model Used in Estimating Monthly Increment on the Wattle Stand[J]. Journal of Fujian College of Forestry, 1989, 9(1): 43-49
Authors:Khiu Sickchen Jiang Xidian Huang Jianer
Affiliation:Department of Forestry Science
Abstract:Using a time series analysis, the AR(P) model of total stand-increment on wattle was developed to anticipate the future total monthly increment for the mean stand-diameter, the mean stand-height and the stand and their forecasting accuracy is high with a fairly practical value in the production because the error measurement do not exceed ± 2%, ±4% and ±5% respectively.
Keywords:the series analysis  increment  wattle
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