作物产量模型中因子重要性的排序  

Relative Importance of Factors Involved in Crop Yield Models

作　　者：杨锦忠[1] 陆强[1] 

机构地区：[1]山西农业大学农学系,太原030801

出　　处：《农业系统科学与综合研究》1997年第2期151-153,共3页System Sciemces and Comprehensive Studies In Agriculture

摘　　要：作物产量的二次回归模型是优化作物生产系统的有力工具,但还未解决因子对作物产量影响程度的量化问题。利用求二次项系数矩阵特征根与特征向量的方法,提出了确定因子重要性排序的计算方法。同时举实例说明了该方法的应用。Second order regression models for crop yield are a powerful tool to optimize production systems, but relative importance to the yield of factors involved in the model is still a open question. The paper suggested an approach to determine their importance ranks, using eigenvalues and corresponding vectors for the matrix of quadratic coefficients in the model. In addition, an example for application was provided to demonstrate this method.

关 键 词：二次回归模型 作物产量 因子重要性 特征根 

分 类 号：S11[农业科学—农业基础科学]