...性化样本累积分布频数 linearized sample cumulative distribution frequency 线性极大似然法 linear maximum likelihood method 线性失误率分布 linear failure rate distribution ..
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... 线性最小平方法 linear least squares method 线性最大概度法 linear maximum likelihood method 线性模型 linear model ...
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local linear maximum likelihood method 局部线性化最大似然估计
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。
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。
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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