arabesque
发表于 2025-3-23 12:20:01
https://doi.org/10.1007/978-3-642-49179-5t these time series also exhibit colored noise. In this chapter we present noise models for these geodetic time series such as the commonly used first order Auto Regressive (AR), the General Gauss Markov (GGM) and the ARFIMA model. The theory is applied to GNSS and tide gauge data from the Pacific Northwest coast.
PRE
发表于 2025-3-23 17:13:04
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从容
发表于 2025-3-23 20:54:50
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Oration
发表于 2025-3-24 00:56:29
The Art and Science of Trajectory Modelling,lso illuminate the diversity of ways in which the Earth moves and deforms. We distinguish between the deterministic approach to trajectory modelling, which emphasizes the physical meaning of the various components of the trajectory, and a more automatic, autonomous and heuristic approach to finding and fitting a trajectory model.
形容词
发表于 2025-3-24 05:16:44
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极大痛苦
发表于 2025-3-24 07:57:05
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Introvert
发表于 2025-3-24 14:45:40
Die Luftvorwärmung im Dampfkesselbetriebncluding ARMA models and standard multiple linear regression models. The models can be seen as general regression models where the coefficients can vary in time. In addition, they allow for a state space representation and a formulation as hierarchical statistical models, which in turn is the key fo
SLING
发表于 2025-3-24 16:22:25
,Schwierigkeiten des Heißluftbetriebes,orrelations. One such assessment is based on the characteristics of the time series residuals averaged over different durations and with the statistical characteristics extrapolated with a first-order Gauss–Markov process to infinite averaging time. This approach circumvents a limitation of spectral
乞丐
发表于 2025-3-24 22:43:16
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冲击力
发表于 2025-3-25 02:03:57
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