有毒
发表于 2025-3-23 10:27:16
Forecasting Strategies,variable is to find a related variable that leads it by one or more time intervals. The closer the relationship and the longer the lead time, the better this strategy becomes. The trick is to find a suitable lead variable. An Australian example is the Building Approvals time series published by the
改变
发表于 2025-3-23 14:14:14
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osculate
发表于 2025-3-23 19:41:07
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必死
发表于 2025-3-24 01:51:21
Stationary Models,regression may account for these non-stationary components, in which case the residuals from the fitted model should not contain noticeable trend or seasonal patterns. However, the residuals will usually be correlated in time, as this is not accounted for in the fitted regression model.
Budget
发表于 2025-3-24 04:14:51
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Decibel
发表于 2025-3-24 07:45:26
Long-Memory Processes,ical time series. Flows in the Nile River have correlations at high lags, and Hurst (1951) demonstrated that this affected the optimal design capacity of a dam. Mudelsee (2007) shows that long-memory is a hydrological property that can lead to prolonged drought or temporal clustering of extreme floo
斜谷
发表于 2025-3-24 12:34:25
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美丽的写
发表于 2025-3-24 16:47:47
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Cantankerous
发表于 2025-3-24 19:19:58
Multivariate Models, in hydrological studies, both rainfall and river flow measurements may be taken at a site of interest. In Chapter 10, we considered a frequency domain approach where variables are classified as inputs or outputs to some system. In this chapter, we consider time domain models that are suitable when
皱痕
发表于 2025-3-25 02:25:48
State Space Models,ly simpler to use the specific time series models we have already introduced when they are appropriate for the physical situation. Here, we shall focus on applications for which we require parameters to adapt over time, and to do so more quickly than in a Holt-Winters model. The recent turmoil on th