On the design of estimators with high breakdown points for outlier identification in triangulation networks View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-12

AUTHORS

Huang Youcai

ABSTRACT

For detection of gross errors in processing triangulation networks, this paper introduces the principle of designing robust estimators with high breakdown points based on the median approach. Three examples presented in the paper show how to form the combinations of observations while considering geometrical constraints necessary for computing the median estimate, and how to calculate the breakdown points as a measure of global reliability of the estimate. More... »

PAGES

292-299

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00806741

DOI

http://dx.doi.org/10.1007/bf00806741

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035942015


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