linear_maximum_likelihood_method

1.The first is the full information maximum likelihood method with linear constraint of coefficient matrixes in structure equation.
结构方程系数矩阵线性约束下的完全信息极大似然估计法。
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2.Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.
结论基于MCECM算法的极大似然估计方法可用于估计非线性因子分析模型的参数。
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3.Parameters of the model are measured by a linear regression technique and a maximum likelihood method.
在因子范围服从对数正态分布下，应用线性回归技术和极大似然法建立了模型参数的测定方法。
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