Quantile Aggregation
Quantile Aggregation is a statistical method that computes specific percentiles or quantiles from a dataset to summarize or analyze the distribution of aggregated values, distinguishing it from other aggregation techniques by focusing on positional measures rather than central tendencies or totals.
19
Publications
725
Citations
57
Authors
51
Institutions
Publications per year
2017–2026
8
Parents
19
Approximate Holistic Aggregation in Wireless Sensor Networks
Li Ji, Siyao Cheng, Zhipeng Cai et al. · ACM Transactions on Sensor Networks · 2017 · 100 citations
Median Aggregation of Distribution Functions
Stephen C. Hora, Benjamin R. Fransen, Natasha Hawkins et al. · Decision Analysis · 2013 · 61 citations
1–5 of 19
57
3
h-index
3
h-index
2
h-index
1
h-index
1
h-index
1–5 of 57
51

Harbin Institute of Technology
Harbin, China
3 h-index
3 publications
271 citations
Georgia State University
Atlanta, United States
3 h-index
8 publications
658 citations
Institute of Geophysics Polish Academy of Sciences
Warsaw, Poland
1 h-index
3 publications
42 citations
Centre de Recherche en Économie Appliquée pour le Développement
Algiers, Algeria
1 h-index
2 publications
64 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
1 publications
28 citations

Heilongjiang University
Harbin, China
1 h-index
1 publications
16 citations

Bank of Italy
Rome, Italy
1 h-index
1 publications
12 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
12 citations
1–8 of 51
PVLDB · 2 publications · 70 citations
2
h-index
1 publications · 100 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 43 citations
1
h-index
1–5