【摘 要】
：
本文应用逐步统计判别原理 ,对山东省曲阜地区 1982～ 1994年共 13年麦蚜复合种群动态的系统调查资料进行了统计分析 ,建立了 4个统计判别数学模型 :dy1=0 .1 343x1- 0 .1 472x
【机 构】
：
山东农业大学理学院!泰安271018,山东农业大学理学院!泰安271018,山东省章丘市农业广播学校!山东章丘250100,山东省章丘市明水林业站!山东章丘250100
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本文应用逐步统计判别原理 ,对山东省曲阜地区 1982～ 1994年共 13年麦蚜复合种群动态的系统调查资料进行了统计分析 ,建立了 4个统计判别数学模型 :dy1=0 .1 343x1- 0 .1 472x2 ; y2 =0 .740 9x1- 0 .1 1 85x2 ;y3=- 8.391 5x1- 1 .785 6x2 ; y4=2 .32 40x1- 0 .30 82x2运用所建模型 ,对历史资料进行回代验证 ,其平均历史拟合率在 93%以上 ,并以 1 995年作为独立样本进行试报 ,结果与实际一致。
Based on the principle of step by step statistical judgment, the data of systematic investigation of the population dynamics of wheat aphids in Qufu, Shandong Province for a total of 13 years from 1982 to 1994 were statistically analyzed. Four statistical discriminant mathematical models were established: dy1 = 0 .1 343 × 1-0 .1 472x2; y2 = .740 9x1- 0 .1 1 85x2; y3 = - 8.391 5x1- 1.785 6x2; y4 = 2.32 40x1-0.30 82x2 Using the model we constructed, Verification, the average historical fitting rate of 93% or more, and in 1995 as an independent sample for trial, the results with the actual.
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