Estimation Under Measurement Error

Estimation Under Measurement Error is a methodological framework within estimation theory that specifically addresses the adjustment of parameter estimates to account for inaccuracies introduced by imperfect measurement instruments or observational noise, distinguishing it from conventional estimation methods by its explicit modeling of measurement error structures.

461

Publications

28.7K

Citations

658

Authors

378

Institutions

Publications per year

2017–2026

74

Authors

658

  1. RJ
    Raymond J. Carroll

    Texas A&M University, United States

    24 publications · 2.5K citations

    20

    h-index

  2. JZ
    Jun Zhang

    Shenzhen University, China

    17 publications · 388 citations

    14

    h-index

  3. LA
    Leonard A. Stefanski

    North Carolina State University, United States

    12 publications · 1.6K citations

    12

    h-index

  4. JW
    James W. Hardin

    University of South Carolina, United States

    6 publications · 208 citations

    6

    h-index

  5. HB
    Heleno Bolfarine

    Universidade de São Paulo, Brazil

    6 publications · 113 citations

    6

    h-index

1–5 of 658

Venues

  1. Journal of the American Statistical Association

    23 publications · 2.4K citations

    19

    h-index

  2. Biometrika

    19 publications · 1.9K citations

    15

    h-index

  3. Journal of Econometrics

    15 publications · 615 citations

    15

    h-index

  4. Communication in Statistics- Theory and Methods

    12 publications · 425 citations

    11

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 11 publications · 224 citations

    11

    h-index

1–5