用对数线性模型拟合接尘量与吸烟量对肺癌发病的作用，发现接尘量与吸烟量同时引入模型后拟合优度最佳。

The results also showed a joint effect of cumulative dust dose and smoking capacity on lung cancer through using the analysis of Generalized Linear Modal.

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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.

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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.

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