Concepedia

Classical Additive Error Models

Classical Additive Error Models is a Bayesian measurement error model in which the observed surrogate measurement is expressed as the sum of the true unobserved variable and an independent additive error term, typically assumed to be normally distributed with zero mean, thereby distinguishing it from other measurement error models by its assumption of classical, non-differential error orthogonal to the latent regressor.

14

Publications

746

Citations

42

Authors

22

Institutions

Publications per year

2017–2026

4

Parents

Publications

14

Modeling errors in daily precipitation measurements: Additive or multiplicative?

Yudong Tian, George J. Huffman, Robert F. Adler et al. · Geophysical Research Letters · 2013 · 182 citations · Full text

, , +14

Additive General Error Models for Production, Cost, and Derived Demand or Share Systems

Marjorie B. McElroy · Journal of Political Economy · 1987 · 162 citations · Full text

, , +14

Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements

C. Y. Wang, Naisyin Wang, Suojin Wang · Biometrics · 2000 · 87 citations

, , +16

A signal-processing-based interpretation of the Nash–Sutcliffe efficiency

Le Duc, Yohei Sawada · Hydrology and earth system sciences · 2023 · 71 citations · Full text

, , +10

Cox Regression with Covariate Measurement Error

Chengcheng Hu, D. Y. Lin · Scandinavian Journal of Statistics · 2002 · 62 citations

, , +12

1–5 of 14

Authors

42

  1. RJ
    Raymond J. Carroll

    Texas A&M University, United States

    1 publications · 20 citations

    1

    h-index

  2. IM
    Iris M. Heid

    University of Regensburg, Germany

    1 publications · 41 citations

    1

    h-index

  3. SH
    Samual H. Brooks

    1 publications · 15 citations

    1

    h-index

  4. CP
    Christopher Palmer

    Massachusetts Institute of Technology, United States

    1 publications · 25 citations

    1

    h-index

  5. JA
    Jerry A. Hausman

    Massachusetts Institute of Technology, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 42

Institutions

22

  1. Texas A&M University

    College Station, United States

    2 h-index

    3 publications

    194 citations

  2. Harvard University Press

    Cambridge, United States

    1 h-index

    1 publications

    62 citations

  3. Zimmer Biomet (Germany)

    Berlin, Germany

    1 h-index

    1 publications

    41 citations

  4. New School

    New York, United States

    1 h-index

    1 publications

    25 citations

  5. Institute of Groundwater Ecology

    Landau, Germany

    1 h-index

    4 publications

    164 citations

  6. University of Waterloo

    Waterloo, Canada

    1 h-index

    2 publications

    40 citations

  7. Ludwig-Maximilians-Universität München

    Munich, Germany

    1 h-index

    1 publications

    41 citations

  8. University of California San Diego

    San Diego, United States

    1 h-index

    3 publications

    42 citations

1–8 of 22

Venues

  1. Biometrics

    2 publications · 105 citations

    2

    h-index

  2. 1

    h-index

  3. Statistics in Medicine

    1 publications · 41 citations

    1

    h-index

  4. Geophysical Research Letters

    1 publications · 182 citations

    1

    h-index

  5. Econometrica

    1 publications · 25 citations

    1

    h-index

1–5