Details
| Translated title of the contribution | Alternative for modeling the uncertainty of measurement |
|---|---|
| Original language | German |
| Pages (from-to) | 389-398 |
| Number of pages | 10 |
| Journal | ZFV - Zeitschrift fur Geodasie, Geoinformation und Landmanagement |
| Volume | 129 |
| Issue number | 6 |
| Publication status | Published - 2004 |
Abstract
In geodesy it is required to assign an uncertainty measure to the results of measurement. Mostly relevant for geodetic practice are uncertainty measures which can be interpreted in a statistical meaning and which can be propagated consistently to derived quantities such as point coordinates. In this paper, various possibilities are studied and compared which have been proposed in the literature. For this purpose a catalogue of requirements is formulated regarding practical needs. As the main result, distribution-free modelling of the systematic component of the uncertainty measure seems to be more adequate than choosing a stochastic approach. This is in contrast to the recommendations of the »Guide to the expression of uncertainty in measurement (GUM)«.
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In: ZFV - Zeitschrift fur Geodasie, Geoinformation und Landmanagement, Vol. 129, No. 6, 2004, p. 389-398.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Alternativen bei der Modellierung der Unsicherheit beim Messen
AU - Kutterer, Hansjörg
AU - Schön, Steffen
PY - 2004
Y1 - 2004
N2 - In geodesy it is required to assign an uncertainty measure to the results of measurement. Mostly relevant for geodetic practice are uncertainty measures which can be interpreted in a statistical meaning and which can be propagated consistently to derived quantities such as point coordinates. In this paper, various possibilities are studied and compared which have been proposed in the literature. For this purpose a catalogue of requirements is formulated regarding practical needs. As the main result, distribution-free modelling of the systematic component of the uncertainty measure seems to be more adequate than choosing a stochastic approach. This is in contrast to the recommendations of the »Guide to the expression of uncertainty in measurement (GUM)«.
AB - In geodesy it is required to assign an uncertainty measure to the results of measurement. Mostly relevant for geodetic practice are uncertainty measures which can be interpreted in a statistical meaning and which can be propagated consistently to derived quantities such as point coordinates. In this paper, various possibilities are studied and compared which have been proposed in the literature. For this purpose a catalogue of requirements is formulated regarding practical needs. As the main result, distribution-free modelling of the systematic component of the uncertainty measure seems to be more adequate than choosing a stochastic approach. This is in contrast to the recommendations of the »Guide to the expression of uncertainty in measurement (GUM)«.
UR - http://www.scopus.com/inward/record.url?scp=11144350100&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:11144350100
VL - 129
SP - 389
EP - 398
JO - ZFV - Zeitschrift fur Geodasie, Geoinformation und Landmanagement
JF - ZFV - Zeitschrift fur Geodasie, Geoinformation und Landmanagement
SN - 1618-8950
IS - 6
ER -