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关注：1
2013-05-23 12:21
求翻译：AR model is most commonly used in the time series method, and it is proved to be both theoretically and experimentally good candidates for time series predictions(Yann-Aël Le Borgne et al., 2007).This model use observed DO values in the past time to predict future value. Use this model we need only to detect DO values 是什么意思？ 待解决
 悬赏分：1
- 离问题结束还有
AR model is most commonly used in the time series method, and it is proved to be both theoretically and experimentally good candidates for time series predictions(Yann-Aël Le Borgne et al., 2007).This model use observed DO values in the past time to predict future value. Use this model we need only to detect DO values
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2013-05-23 12:21:38
AR model is most commonly used in the time series method, and it is proved to be both theoretically and experimentally good candidates for time series predictions (Yann-Aël Le Borgne et al., 2007). This model use observed DO values in the past time to predict future value. Use this model we need o
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2013-05-23 12:23:18
AR model is most commonly used method in the time series, and it is both theoretically and experimentally proved to be good candidates for time series predictions (Yann - Ae l Le Borgne et al, 2007) . . This DO model use values observed in the past to predict future time value Use . This model we ne
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2013-05-23 12:24:58
AR model is most commonly used in the time series method, and it is proved to be both theoretically and experimentally good candidates for time series predictions (Yann-Aël Le Borgne et al., 2007). This model use observed DO values in the past time to predict future value. Use this model we need onl
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2013-05-23 12:26:38
AR model is most commonly used in the time series method, and it is proved to be both theoretically and experimentally good candidates for time series predictions(Yann-Aël Le Borgne et al., 2007). This model use observed DO values in the past time to predict future value. Use this model we need only
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2013-05-23 12:28:18
AR model is most commonly used in the time series method, and it is proved to be both theoretically and experimentally good candidates for time series predictions(Yann-Aël Le Borgne et al., 2007). This model use observed DO values in the past time to predict future value. Use this model we need only
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