Classical Measurement Error

Classical Measurement Error is a measurement error model in which the observed value is the sum of the true latent value and an uncorrelated additive error term, assuming the error is independent of the true value and has zero mean.

81

Publications

4.2K

Citations

200

Authors

147

Institutions

Publications per year

2017–2026

20

Variants

Classical Error Model

Authors

200

  1. RJ
    Raymond J. Carroll

    Texas A&M University, United States

    8 publications · 297 citations

    8

    h-index

  2. DA
    Dan A. Black

    Carnegie Mellon University, United States

    4 publications · 423 citations

    4

    h-index

  3. MC
    Mark C. Berger

    University of Kentucky, United States

    3 publications · 296 citations

    3

    h-index

  4. FA
    Frank A. Scott

    University of Kentucky, United States

    3 publications · 296 citations

    3

    h-index

  5. LS
    Lianne Sheppard

    University of Washington, United States

    3 publications · 204 citations

    3

    h-index

1–5 of 200

Venues

  1. Statistics in Medicine

    5 publications · 234 citations

    5

    h-index

  2. Biometrics

    5 publications · 201 citations

    5

    h-index

  3. 4

    h-index

  4. The Review of Economics and Statistics

    3 publications · 199 citations

    3

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 3 publications · 260 citations

    3

    h-index

1–5