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The Poisson series is a common form for describing orbital prediction error, the commonly used polynomial fitting is a special case of the Poisson series fitting.
Based on the assumption, the thermo-viscoelastic constitutive relationship is obtained by the finite element method and Prony series fitting.
This paper has presented a methodology for periodicity characterization and Poisson series fitting for orbital prediction error based on historical orbital data.
In the data processing to retrieve coseismic signals, we remove the postseismic influence (approximately represented by the linear trend after the earthquake) by time series fitting.
It should be noted that the seasonal and trend terms are removed first by time series fitting from the synthetic observations.
In other words, given much larger amplitude of postseismic gravity changes, the postseismic impact on signal retrieval would still be reduced to a confident level due to the processing of time series fitting.
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And the series fits Hollywood's line of the moment.
The black lines are power series fits to the data with the parameters shown.
A simple power series fit to the data between RTT 2.3 msec.
bins by 10. the black line is a simple power series fits to the data between 2.3 msec.
The generated forecast uncertainty series fits the observed series well in terms of observed mean, standard deviation and skewness.
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