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利用统计控制方法模拟LOGISTIC模型 被引量:2

Parameter K-Value Estimation for LOGISTIC Model by Statistic Control
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摘要 提出用统计控制方法估计常量K值以模拟LOGISTIC模型.方法是:(1)当因变量具有由小至大逐渐上升至一个最大值后而下降的趋势时,设试验中的最大值为K值;(2)当因变量具有由小至大逐渐上升的趋势时,设K值等于试验的最大值乘以(1+5%).根据桃蚜和优姬蜂的试验数据的趋势估计K值并以SAS系统软件模拟LOGIS TIC曲线,得到精确度极高的模型. The authors present the new trial & error method of statistic control to estimate the parameter Kvalue for LOGISTIC model simulation fitted by SAS system by utility of data from the experiment of peach aphid Mysuz persicae and ichneumon Diadegma eucerophaga. The methods for Kvalue estimation were concluded: (1) If the dependent variable was in ascending to a maximum value and then decending, let the Kvalue equal the maximum; (2) If the dependent variable was in ascending to a maximum value, let the Kvalue equal the maximum times (1+5%). The results showed that the LOGISTIC models fitted were of high accurate with the coefficients of determination (R2) not less than 098, and this accuracy seemed sufficient for the most LOGISTIC model simulation.
出处 《华南农业大学学报》 CAS CSCD 北大核心 2003年第3期33-35,共3页 Journal of South China Agricultural University
基金 广东省自然科学基金项目(870272) 英国皇家学会王宽诚奖学金(1990)
关键词 统计控制方法 模拟 LOGISTIC模型 桃蚜 优姬蜂 试验数据 模拟温度 发育速率 虫害防治 LOGISTIC model statistical control simulation Mysuz persicae Diadegma eucerophaga
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