摘要
运用生物统计学中的似乎不相关线性模型的原理与方法对Logistic方程组的参数进行广义最小二乘估计,并应用于红松单木生长的拟合。此统计建模不仅为多个具有相互关系的Logistic方程构建了相互关联的系统,也为Logistic方程组的实际应用提供了新的技术方法。
We used the principle and method of seemingly unrelated linear models on the biostatistics to estimate the parameters of Logistic equations to estimate the generalized least square parameters,and fit the individual tree growth of Pinus koraiensis. The relationship between the Logistic equations was constructed,and the new technology method in practical application of the Logistic equations was advanced.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2015年第10期68-71,共4页
Journal of Northeast Forestry University
基金
黑龙江省自然科学基金项目(C201408)
关键词
Logistic方程组
似乎不相关线性模型
广义最小二乘估计
红松单木生长
Logistic equations
Seemingly unrelated linear models
Generalized least square estimation
Individual tree growth of pinus koraiensis
