Multiphysics imaging or data inversion is of growing importance in many branches of
science and engineering. In geophysical sciences, there is a need for combining information …

This book presents Bayes' theorem, the estimation of unknown parameters, the
determination of confidence regions and the derivation of tests of hypotheses for the …

Collocation is widely used in physical geodesy. Its application requires to solve systems with
a dimension equal to the number of observations, causing numerical problems when many …

Monte Carlo methods deal with generating random variates from probability density
functions in order to estimate unknown parameters or general functions of unknown …

The differential is replaced by the Sterling interpolation method with a finite difference,
without calculating the first and second derivatives of the nonlinear function. The mean and …

The scaled unscented transformation (SUT) with scaled symmetric sampling strategy is
introduced into Geomatics and expanded. Unlike the Taylor series expansion, this method …

In this paper, we investigate a linear regression time series model of possibly outlier-afflicted
observations and autocorrelated random deviations. This colored noise is represented by a …

Abstract Efficient Variance Component Estimation (VCE) is significant to optimal data
combination in large-scale least-squares problems as those encountered in satellite …

Quantities like tropospheric zenith delays or station coordinates are repeatedly measured at
permanent VLBI or GPS stations so that time series for the quantities at each station are …

Abstract The GOCE (Gravity Field and steady-state Ocean Circulation Explorer) mission is
dedicated to the determination of the Earth's gravity field. During the mission period of at …