应用多级Fisher判别准则预测二代玉米螟种群动态  

Forecasting Population Dynamics of the Corn Borer of the Second Generation by Fisher's Discriminant Analysis

作　　者：丁世飞[1,2,3] 李述山[1,2,3] 陈航德 

机构地区：[1]山东农业大学基础部 [2]山东矿业学院数学系 [3]交通银行济南分行

出　　处：《运筹与管理》1998年第4期67-71,共5页Operations Research and Management Science

摘　　要：本文论述了Ｆｉｓｈｅｒ准则下多级判别的基本原理，并应用该原理将山东省胶南市第二玉米螟百株累计卵量的３个影响因素压缩为一个新指标（线性判别函数），用这一个新指标对样品按距离最小准则判别归类。结果表明，历史拟合率为１００％，两年预报，其结果与实际一致。In this paper,the basic principle of discriminant analysis by Fisher's rule is analysed,a new index (linear discriminant function)is set up on the basis of the three influencing factors for the data about 100 plant egg amount of the second generation of the corn borer in 10 years of 1985～1994 in Jiaonian City,Shandong Province. The tested results of the pest data by using the index show that the fitting rate is 100% for forecasting of other the population dynamics of pests.

关 键 词：种群动态 FISHER准则 玉米螟 预测预报 多元分析 

分 类 号：S435.135[农业科学—农业昆虫与害虫防治] O212.4[农业科学—植物保护]