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Titlebook: Geodetic Time Series Analysis in Earth Sciences; Jean-Philippe Montillet,Machiel S. Bos Book 2020 Springer Nature Switzerland AG 2020 GNSS

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Die Lungentuberkulose in der Armeee bridge campaigns are presented. Future developments in the technology of both data generation and application are discussed in the context of needs for real time alarms and assessment of engineering structures.
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Markov Chain Monte Carlo and the Application to Geodetic Time Series Analysis,
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The Art and Science of Trajectory Modelling,re trajectory models. We describe various classes of trajectory models, and present a dozen case studies that illustrate the use of these models and also illuminate the diversity of ways in which the Earth moves and deforms. We distinguish between the deterministic approach to trajectory modelling,
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Fast Statistical Approaches to Geodetic Time Series Analysis,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
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Modelling the GNSS Time Series: Different Approaches to Extract Seasonal Signals,l periods with constant amplitudes over time. However, in this chapter, we demonstrate that these amplitudes can vary significantly over time, by as much as 3 mm at some stations. Different methods have been developed to estimate the time-varying curves. The advantages and disadvantages of those met
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