Random Error Analysis

Random Error Analysis is a systematic method within elevation data quality control that belongs to the class of error analysis techniques, specifically distinguished by its focus on quantifying unpredictable, non-systematic deviations in angular measurements arising from random sources during data acquisition.

644

Publications

59.4K

Citations

2K

Authors

808

Institutions

Publications per year

2017–2026

73

Authors

2K

  1. DV
    David V. Budescu

    Fordham University, United States

    5 publications · 374 citations

    5

    h-index

  2. FW
    Franz Wortmann

    University of Manchester, United Kingdom

    4 publications · 113 citations

    4

    h-index

  3. TS
    Thomas S. Wallsten

    University of North Carolina at Chapel Hill, United States

    4 publications · 344 citations

    4

    h-index

  4. WG
    Will G. Hopkins

    Auckland University of Technology, New Zealand

    3 publications · 127 citations

    3

    h-index

  5. SG
    Sander Greenland

    UCLA Health, United States

    3 publications · 1.3K citations

    3

    h-index

1–5 of 2K

Venues

  1. PubMed

    Repository · 23 publications · 1.1K citations

    18

    h-index

  2. Clinical Chemistry

    16 publications · 591 citations

    14

    h-index

  3. Journal of Behavioral Decision Making

    9 publications · 642 citations

    9

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 8 publications · 1.9K citations

    8

    h-index

  5. Statistics in Medicine

    8 publications · 313 citations

    8

    h-index

1–5