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Determining uncertainties of correlated measurements by Monte Carlo simulations applied to laserscanning

Determining uncertainties of correlated measurements by Monte Carlo simulations applied to... The determination of uncertainties according to the “Guide to the Expression of Uncertainty in Measurement (GUM)” is extended to correlated measurements. The correlations are estimated by repeated observations. Uniform, trapezoidal and triangular distributions recommended by GUM are generalized to multivariate distributions by Monte Carlo simulations. To introduce the Type B component of uncertainty of GUM, which expresses uncertainty based on experience, two methods are discussed. The first one introduces individual corrections to the measurements with identical variances, the second one an identical correction with the same variance to each observation. Correlations are caused by the latter method. The correlations of the coordinates of points measured by the laserscanner Leica HDS 3000 are estimated from repeated observations. Except for the correlations of the three coordinates of the same points, the correlations turn out to be small. Nevertheless, they should be considered for the uncertainties of distances derived from the coordinates, especially if an addition constant for the measured distances of the laserscanner is introduced. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Geodesy de Gruyter

Determining uncertainties of correlated measurements by Monte Carlo simulations applied to laserscanning

Journal of Applied Geodesy , Volume 2 (3) – Sep 1, 2008

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Publisher
de Gruyter
Copyright
© de Gruyter 2008
ISSN
1862-9016
eISSN
1862-9024
DOI
10.1515/JAG.2008.016
Publisher site
See Article on Publisher Site

Abstract

The determination of uncertainties according to the “Guide to the Expression of Uncertainty in Measurement (GUM)” is extended to correlated measurements. The correlations are estimated by repeated observations. Uniform, trapezoidal and triangular distributions recommended by GUM are generalized to multivariate distributions by Monte Carlo simulations. To introduce the Type B component of uncertainty of GUM, which expresses uncertainty based on experience, two methods are discussed. The first one introduces individual corrections to the measurements with identical variances, the second one an identical correction with the same variance to each observation. Correlations are caused by the latter method. The correlations of the coordinates of points measured by the laserscanner Leica HDS 3000 are estimated from repeated observations. Except for the correlations of the three coordinates of the same points, the correlations turn out to be small. Nevertheless, they should be considered for the uncertainties of distances derived from the coordinates, especially if an addition constant for the measured distances of the laserscanner is introduced.

Journal

Journal of Applied Geodesyde Gruyter

Published: Sep 1, 2008

Keywords: Monte Carlo simulation; multivariate uniform distribution; Bayesian confidence interval; laserscanner; GUM

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