Declustering

Declustering is a statistical correction method used in geostatistics to mitigate sampling bias by assigning weights to observations in order to reduce the influence of spatially clustered data when estimating block or domain grades in ore grade control.

123

Publications

7.7K

Citations

1.3K

Authors

164

Institutions

Publications per year

2017–2026

30

Authors

1.3K

  1. JZ
    Jiancang Zhuang

    The Institute of Statistical Mathematics, Japan

    7 publications · 1.1K citations

    7

    h-index

  2. AŞ
    Ali Şaman Tosun

    The University of Texas at San Antonio, United States

    6 publications · 115 citations

    6

    h-index

  3. DJ
    David J. DeWitt

    University of Wisconsin–Madison, United States

    5 publications · 520 citations

    5

    h-index

  4. AJ
    Andrew J. Larkoski

    Massachusetts Institute of Technology, United States

    4 publications · 908 citations

    4

    h-index

  5. JT
    Jesse Thaler

    Massachusetts Institute of Technology, United States

    4 publications · 908 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. Geophysical Journal International

    GJI · 5 publications · 237 citations

    5

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 108 citations

    4

    h-index

  3. Bulletin of the Seismological Society of America

    BSSA · 4 publications · 126 citations

    4

    h-index

  4. Very Large Data Bases

    Conference · 3 publications · 238 citations

    3

    h-index

  5. Pure and Applied Geophysics

    PAGEOPH · 3 publications · 108 citations

    3

    h-index

1–5