Bin Width Selection
Bin Width Selection is the process of determining the optimal interval size for grouping data into bins within a histogram, distinguished by its role in balancing the trade-off between oversmoothing and undersmoothing in the visual representation of frequency distributions.
18
Publications
674
Citations
51
Authors
40
Institutions
Publications per year
2017–2026
4
Variants
Bin Size Selection
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Czech Technical University in Prague
Prague, Czechia
1 h-index
2 publications
64 citations

University of Hyogo
Kobe, Japan
1 h-index
1 publications
28 citations

Ocean University of China
Qingdao, China
1 h-index
5 publications
240 citations
TU Dortmund University
Dortmund, Germany
1 h-index
2 publications
38 citations
Statistisches Bundesamt
Wiesbaden, Germany
1 h-index
3 publications
57 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
1 publications
19 citations
The University of Osaka
Osaka, Japan
1 h-index
2 publications
56 citations
Avaya (Bermuda)
Hamilton, Bermuda
1 h-index
2 publications
64 citations
1–8 of 40
1 publications · 22 citations
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1 publications · 31 citations
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1 publications · 22 citations
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1 publications · 23 citations
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Repository · 1 publications · 131 citations
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