A COMPARATIVE-STUDY OF SHORT CUT PROCEDURES FOR PARAMETER-ESTIMATION IN DIFFERENTIAL-EQUATIONS
A COMPARATIVE-STUDY OF SHORT CUT PROCEDURES FOR PARAMETER-ESTIMATION IN DIFFERENTIAL-EQUATIONS
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DOI：
10.1016/0098-1354(79)80022-8
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发表时间：
1979-01-01
影响因子：
4.3
通讯作者：
HOSTEN, LH
中科院分区：
文献类型：
--
作者：
HOSTEN, LH
比较了以微分方程形式给出的数学模型参数估计的各种捷径，并与最大似然（ML）方法进行了比较。所涉及的要点如下：计算时间;方案拟订工作;捷径估计值与ML估计值的偏差;以及遵循捷径技术的ML方法的收敛性。
Various short cut procedures for estimation of parameters in mathematical models given in the form of differential equations are compared with each other as well as with the maximum likelihood (ML) approach. Points covered are: computing time; programming effort; deviation of short cut estimates from ML estimates; and convergence of a ML approach following-up the short cut technique.