求翻译：由于实际应用中大多数时间序列是非平稳的，通常采用差分方法消除序列中含有的非平稳趋势，使得序列平稳化后建立模型，比如使用ARIMA模型。是什么意思？

Because most of the time sequence in the practical application of the non-stationary, usually differential method to eliminate the sequence containing the non-stationary trend, making the sequence smoothing model, such as arima model.

Due to the fact that actual application in non-smooth most of the time sequence of differential and are often a means of eliminating sequence that contains the non-smooth trend, the sequence of stable after building the model, such as using ARIMA model.

Because in practical application majority time series right and wrong steady, usually uses the non-steady tendency which in the difference method elimination sequence includes, after causes the sequence steadily to establish the model, for instance uses the ARIMA model.

Since in practice most of the time sequence is stable, usually by difference method for elimination of non-stationary sequence contains trends, modeled after the sequence of smooth, such as using ARIMA model.

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