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This article reports a method to estimation the global phase shift with two interferograms.
These results support the applicability of this method to estimation of tectonic evolution of sedimentary basins and magnitude of over-pressurization.
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In this study, we apply the conditional logit estimation method to estimate the parameters.
With reconstructed EMV, we finally develop a CFO estimation method to estimate the coarse CFO and fine CFO.
We used the maximum likelihood estimation method to estimate the logistic model (Hosmer and Lemeshow 2000).
We used several parameter estimation methods to estimate the parameters of the dynamic models.
Finally, a prototype of this statistic method to frequency estimation was built.
Note that when applying the covariance method to the estimation of the HOLP model parameters, a similar result is obtained.
In particular, the applicability of this method to the estimation of the coronal magnetic field is demonstrated.
However, there are few models which incorporate a slope factor to CN method to improve estimation of surface runoff depth and volume (Huang et al. 2006).
Experimental performance of the robustness of our method to the estimation error in label proportions will be described in Section 5.4.
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