Causality is a falsification schematizing and simplying the world and a necessary as a condition of life.
因果关系是一种为了将世界系统化，简单化而假定的伪造，是一种作为生活条件的必要。
The condition and approach of predigestion computation isp ut forward. Its result indicates that causality diagram is more effective than FTA in security analysis and assessment.
结果表明因果图方法可以有效地进行安全分析和安全评估，而且比故障树分析法效果好。
The well known causality condition, puts the structure constraints on the multirate controllers.
由于“因果条件” ，多采样率控制器具有结构约束。
At the same time, due to the non-linear condition of time sequence, conventional linear Vector Autoregressive model can hardly characterize the causality among economic variables correctly.
同时由于时间序列的非线性，常规的线性向量自回归模型难以正确描述经济变量之间的因果关系。
At the same time, due to the non-linear condition of time sequence, conventional linear Vector Autoregressive model can hardly characterize the causality among economic variables correctly.
同时由于时间序列的非线性，常规的线性向量自回归模型难以正确描述经济变量之间的因果关系。
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