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

Authors

51

  1. IA
    Ivo Alxneit

    Paul Scherrer Institute, Switzerland

    1 publications · 23 citations

    1

    h-index

  2. TK
    Toshiaki Kozu

    Shimane University, Japan

    1 publications · 31 citations

    1

    h-index

  3. EI
    E. I. Popova

    Technische Universität Berlin, Germany

    1 publications · 22 citations

    1

    h-index

  4. MM
    Marzuki Marzuki

    Andalas University, Indonesia

    1 publications · 31 citations

    1

    h-index

  5. LD
    Laurie Davies

    University of Duisburg-Essen, Germany

    1 publications · 19 citations

    1

    h-index

1–5 of 51

Venues

  1. Astrophysics and Space Science

    1 publications · 22 citations

    1

    h-index

  2. Journal of Applied Statistics

    1 publications · 31 citations

    1

    h-index

  3. Test

    1 publications · 22 citations

    1

    h-index

  4. The Journal of Physical Chemistry A

    1 publications · 23 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 131 citations

    1

    h-index

1–5