Data Homogeneity Testing
Data Homogeneity Testing is a methodological procedure in peak flow analysis that assesses the consistency of statistical properties across sub-samples of hydrological data to determine whether the data originate from a single, uniformly distributed population over time.
141
Publications
13.1K
Citations
387
Authors
222
Institutions
Publications per year
2017–2026
29
Parents
141
1–5 of 141
387
The Institute of Statistical Mathematics, Japan
5 publications · 1.1K citations
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5
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3
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Institut National de la Recherche Scientifique, Canada
3 publications · 225 citations
3
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1–5 of 387
222
University of California San Diego
San Diego, United States
5 h-index
5 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
202 citations

University of Waterloo
Waterloo, Canada
4 h-index
6 publications
210 citations

Istanbul Technical University
Istanbul, Türkiye
3 h-index
6 publications
369 citations
The Institute of Statistical Mathematics
Tokyo, Japan
3 h-index
3 publications
403 citations
Research Organization of Information and Systems
Tokyo, Japan
3 h-index
3 publications
403 citations
University of Washington
Seattle, United States
3 h-index
4 publications
182 citations

University of Rochester
Rochester, United States
3 h-index
7 publications
119 citations
1–8 of 222
10 publications · 1.3K citations
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Repository · 7 publications · 370 citations
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6 publications · 167 citations
6
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4 publications · 252 citations
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4 publications · 190 citations
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