000			01486nam a2200121Ia 4500
008			220615s9999||||xx |||||||||||||| ||und||
245		0	_aStochastic Models for Geodesy and Geoinformation Science
546			_aEnglish[eng]
650			_aEM-algorithm||multi-GNSS||PPP||process noise||observation covariance matrix||extended Kalman filter||machine learning||GNSS phase bias||sequential quasi-Monte Carlo||variance reduction||autoregressive processes||ARMA-process||colored noise||continuous process||covariance function||stochastic modeling||time series||elementary error model||terrestrial laser scanning||variance-covariance matrix||terrestrial laser scanner||stochastic model||B-spline approximation||Hurst exponent||fractional Gaussian noise||generalized Hurst estimator||very long baseline interferometry||sensitivity||internal reliability||robustness||CONT14||Errors-In-Variables Model||Total Least-Squares||prior information||collocation vs. adjustment||mean shift model||variance inflation model||outlierdetection||likelihood ratio test||Monte Carlo integration||data snooping||GUM analysis||geodetic network adjustment||stochastic properties||random number generator||Monte Carlo simulation||3D straight line fitting||total least squares (TLS)||weighted total least squares (WTLS)||nonlinear least squares adjustment||direct solution||singular dispersion matrix||laser scanning data
700			_aNeitzel, Frank
856			_uhttps://mdpi.com/books/pdfview/book/3387
942			_cEB
999			_c16121 _d16121