Uncertainty in two-stage measurement: Explanation using simulation studies

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Uncertainty in two-stage measurement: Explanation using simulation studies

Popis výsledku v původním jazyce

In geodesy we often estimate coordinates of a two-dimensional point in a model of two-stage measurements. The points from the national trigonometric network have different accuracy, and independence is not met. We encounter situations where we cannot get quality results even by repeating measurements. The dependency among old points and their accuracy may have a considerable impact on the estimated coordinates of new points. To examine the impact, this paper presents simulation methods describing the uncertainty of estimated points. The main goal of this paper is to study the uncertainty of Least Squares Estimators in one surveying problem. This is a situation where an object should be very precisely connected to the government network. We draw attention to the fact that the Least Squares Method can give non-admissible geometric representation of an object&apos;s estimated coordinates. The main objective is to compare outputs from the two-stage regression model and from simulation studies.

Název v anglickém jazyce

Uncertainty in two-stage measurement: Explanation using simulation studies

Popis výsledku anglicky

In geodesy we often estimate coordinates of a two-dimensional point in a model of two-stage measurements. The points from the national trigonometric network have different accuracy, and independence is not met. We encounter situations where we cannot get quality results even by repeating measurements. The dependency among old points and their accuracy may have a considerable impact on the estimated coordinates of new points. To examine the impact, this paper presents simulation methods describing the uncertainty of estimated points. The main goal of this paper is to study the uncertainty of Least Squares Estimators in one surveying problem. This is a situation where an object should be very precisely connected to the government network. We draw attention to the fact that the Least Squares Method can give non-admissible geometric representation of an object&apos;s estimated coordinates. The main objective is to compare outputs from the two-stage regression model and from simulation studies.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

30th European Modeling and Simulation Symposium, EMSS 2018 : proceedings

ISBN

978-88-85741-06-5

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

7

Strana od-do

336-342

Název nakladatele

Dime University of Genoa

Místo vydání

Janov

Místo konání akce

Budapešť

Datum konání akce

17. 9. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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