Survey Error Analysis

Survey Error Analysis is a systematic methodological framework within observational astronomy that identifies, quantifies, and characterizes inaccuracies and uncertainties in astronomical survey data to enhance the reliability and validity of scientific inferences derived from large-scale sky observations.

152

Publications

17.8K

Citations

459

Authors

228

Institutions

Publications per year

2017–2026

48

Authors

459

  1. RM
    Robert M. Groves

    University of Michigan, United States

    4 publications · 2.4K citations

    4

    h-index

  2. BM
    Bruce Meyer

    University of Chicago, United States

    4 publications · 174 citations

    4

    h-index

  3. NM
    Nikolas Mittag

    University of Chicago, United States

    4 publications · 174 citations

    4

    h-index

  4. RS
    Robert S. Erikson

    Columbia University, United States

    3 publications · 231 citations

    3

    h-index

  5. PM
    P. M. W. Kalberla

    University of Bonn, Germany

    3 publications · 413 citations

    3

    h-index

1–5 of 459

Venues

  1. Public Opinion Quarterly

    POQ · 9 publications · 1.6K citations

    9

    h-index

  2. 8

    h-index

  3. Journal of Survey Statistics and Methodology

    6 publications · 397 citations

    6

    h-index

  4. Journal of Official Statistics

    JOS · 5 publications · 89 citations

    5

    h-index

  5. The Astronomical Journal

    AJ · 4 publications · 188 citations

    4

    h-index

1–5