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

Authors

387

  1. BK
    Bharath K. Sriperumbudur

    The Institute of Statistical Mathematics, Japan

    5 publications · 1.1K citations

    5

    h-index

  2. GL
    Gert Lanckriet

    University of California San Diego, United States

    5 publications · 1.1K citations

    5

    h-index

  3. KF
    Kenji Fukumizu

    The Institute of Statistical Mathematics, Japan

    5 publications · 1.1K citations

    5

    h-index

  4. GS
    Govind S. Mudholkar

    University of Rochester, United States

    3 publications · 53 citations

    3

    h-index

  5. TB
    Taha B. M. J. Ouarda

    Institut National de la Recherche Scientifique, Canada

    3 publications · 225 citations

    3

    h-index

1–5 of 387

Venues

  1. International Journal of Climatology

    10 publications · 1.3K citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 370 citations

    7

    h-index

  3. 6

    h-index

  4. Biometrika

    4 publications · 252 citations

    4

    h-index

  5. Journal of Hydrology

    4 publications · 190 citations

    4

    h-index

1–5