摘要
本文论述应用AR (p)递推最小二乘估计建立林区原木货场入库和销售预报模型 ,探讨了如何实现AR (p)模型变换为状态方程的方法 ,在此基础上应用Kalman滤波方程组对原木库存进行动态分析 ,并给出了应用实例。
The paper presents the establishment of the predicting model for the storage and sales of forest log yard by deducing progressively the least square estimation with AR(p)pattern, discussing how to turn AR(p) pattern into state equation, on which basis dynamic analysis of log storage is done by applying Kalman wave filter equation with examples illustrated
出处
《林业经济问题》
2001年第5期310-312,316,共4页
Issues of Forestry Economics
