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在潜在变量线性结构模型的基础上，首次将变量变换的思想引入其中，并给出了在Ｂｏｘ－Ｃｏｘ变换下的似然函数、参数估计，从而提高了以往ＬＩＳＲＥＬ模型的适用准确性。
Based on the linear structural model of latent variables, the idea of variable transformation is introduced for the first time, and the likelihood function and parameter estimation under Box-Cox transformation are given, which improves the accuracy of LISREL model.