Blunder Detection
Blunder Detection is a methodological procedure within geodetic network analysis that identifies gross errors or significant observational inaccuracies through statistical testing and residual analysis to ensure data integrity and adjustment reliability.
23
Publications
698
Citations
56
Authors
19
Institutions
Publications per year
2017–2026
3
Variants
Gross Error Detection
Parents
23
Statistics done wrong: the woefully complete guide
Choice Reviews Online · 2015 · 83 citations · Full text
1–5 of 23
56
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1–5 of 56
19

University of Calgary
Calgary, Canada
3 h-index
9 publications
213 citations
ETH Zurich
Zurich, Switzerland
2 h-index
3 publications
33 citations
Stanford University
Stanford, United States
2 h-index
4 publications
138 citations
Wuhan University
Wuhan, China
2 h-index
6 publications
120 citations

Glasgow Royal Infirmary
Glasgow, United Kingdom
1 h-index
3 publications
90 citations

National Taipei University of Technology
Taipei, Taiwan
1 h-index
2 publications
102 citations
Central Forensic Science Laboratory
New Delhi, India
1 h-index
1 publications
10 citations

Parthenope University of Naples
Naples, Italy
1 h-index
4 publications
188 citations
1–8 of 19
4 publications · 106 citations
4
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2 publications · 37 citations
2
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2 publications · 98 citations
2
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1 publications · 12 citations
1
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Repository · 1 publications · 10 citations
1
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1–5