摘要
根据BatesJM和GrangerCWJ的组合预测方法的概念,提出了基于最小偏差的林分生长组合预测模型,并介绍了模型求解的方法.由实例证明,组合预测模型能大大地改善预测效果,是一个理想的模型,在应用上具有重要意义.
Based on the idea of minimal deviation, this paper builds a combinatorial prediction model for stand growth from the concept of combinatorial prediction method created by J. M. Bates and C.W. J. Grand. It discusses and finds a solution to the coefficient of this combinatorial model. Practical examples show that the combinatorial model can improve prediction precision and thus proves an ideal model in predicting stand growth.
出处
《中南林学院学报》
CSCD
2004年第5期80-83,共4页
Journal of Central South Forestry University
关键词
林学
森林
经理
最小偏差
组合模型
林分生长
forestry
forest management
minimal deviation
combinatorial model
stand growth
