关于Logistic模型参数估计的比较

针对应用Logistic模型进行准确预测中的参数估计问题,研究一种交替迭代算法.Logistic模型参数估计问题是应用该模型进行准确预测的关键,一种交替迭代算法被提出用以估计参数.通过构造误差损失函数,并使之最小,证明了该算法的收敛性,同时指出应用中观察数据应满足的要求.仿真算例说明该算法较常用的多项式曲线拟合估计效果好.

Comparisons of parameter estimation on Logistic model

For the parameter estimation of the accurately forecasts by Logistic model,an alternating iterative algorithm is researched.The convergence of the algorithm is proved by minimizing the error loss functions.At the same time,it is pointed out that a number of conditions should be met by the observation data in the applications.A simulation example is used to illustrate that the alternating iterative algorithm is more effectively than the polynomial curve fitting algorithm.