Estimation Bias Analysis

Estimation Bias Analysis is a methodological framework within geostatistical grade estimation that systematically identifies, quantifies, and corrects systematic deviations between estimated and true mineral grade values arising from spatial sampling limitations, model assumptions, or data distributional anomalies.

322

Publications

15.9K

Citations

981

Authors

495

Institutions

Publications per year

2017–2026

101

Authors

981

  1. LS
    Ljubiša Stanković

    University of Montenegro, Montenegro

    4 publications · 210 citations

    4

    h-index

  2. YB
    Yaakov Bar‐Shalom

    University of Connecticut, United States

    4 publications · 204 citations

    4

    h-index

  3. BJ
    Bing‐Yi Jing

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 789 citations

    3

    h-index

  4. MI
    M. Ivette Gomes

    University of Lisbon, Portugal

    3 publications · 155 citations

    3

    h-index

  5. DB
    Djedjiga Belfadel

    University of Connecticut, United States

    3 publications · 45 citations

    3

    h-index

1–5 of 981

Venues

  1. IEEE Transactions on Signal Processing

    10 publications · 613 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 212 citations

    8

    h-index

  3. IEEE Transactions on Automatic Control

    6 publications · 285 citations

    6

    h-index

  4. Statistics in Medicine

    6 publications · 413 citations

    6

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 118 citations

    4

    h-index

1–5