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 Kvalue 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 Kvalue estimation were concluded: (1) If the dependent variable was in ascending to a maximum value and then decending, let the Kvalue equal the maximum; (2) If the dependent variable was in ascending to a maximum value, let the Kvalue equal the maximum times (1+5%). The results showed that the LOGISTIC models fitted were of high accurate with the coefficients of determination (R2) not less than 098, 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)