一般的拟合优度检验方法只能用于分布完全已知的情况。
The common goodness-of-fit tests require continuous distributions with known parameters.
给出了趋势检验、AMSAA模型的拟合优度检验及模型参数的极大似然估计方法。
The tendency check, goodness of fit check, maximum likelihood estimates (MLE) of the parameters and MTBF for AMSAA model are presented.
结果：提出了模型的一般框架，并给出了协方差密度的性质以及模型的拟合优度检验。
Results: a general framework of the model is established. The property of covariance density and the goodness of fit test are given.
在讨论(广义)非参数似然比拟合优度检验时，加权经验过程理论是一个非常重要的基础。
The theory of weighted empirical processes is an important element for (generalized) nonparametric likelihood ratio goodness of fit test.
方法结合职业紧张研究数据，利用LISREL软件实现参数估计，以RMSEA、GFI、SRMR作为拟合优度检验的评价指标。
Methods Occupational stress data were analyzed and using LISREL to estimate parameter. RMSEA, GFI, SRMR were used as fitting goodness indicator.
对具有厚尾结构的数据的拟合优度检验选择A—D拟合优度检验法优于K - S拟合优度检验法，前者对尾部检验更敏感，更合理。
On fat tail structure of the given data, the law of A-D goodness of fit test is better than the K-S goodness of fit test, the former is more sensitive and rational.
结构模型拟合优度评估以及假设检验结果表明：企业声誉、预期合作收益、资源投入程度和转移成本是供应链协作信任的四个影响因素。
The result shows that company reputation, anticipated collaboration income, the degree of resource devotion and switching cost are the four influential factors of supply chain collaboration trust.
为了比较两个线性模型的拟合优度哪一个高，本文提出了对两个模型的拟合优度进行假设检验的方法，对该方法的原理进行了论证。
To compare the goodness of fit of two linear models, a method of hypothetic test has been proposed in this paper. The principle of the methods is proved theoretically.
因此其拟合优度和检验精度均优于单纯的线性回归模型，可作为NDVI反演pri一种参考模型。
Thus, its goodness of fit and inspection accuracy were better than the simple linear regression model, which could be used as a reference model for NDVI inversion PRI.
因此其拟合优度和检验精度均优于单纯的线性回归模型，可作为NDVI反演pri一种参考模型。
Thus, its goodness of fit and inspection accuracy were better than the simple linear regression model, which could be used as a reference model for NDVI inversion PRI.
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