Mean Squared Error Estimation

Mean Squared Error Estimation is a statistical inference method that quantifies the average squared deviation between predicted and true values in small area parameters, distinguished by its focus on balancing bias and variance in finite-sample settings under complex survey designs.

1.5K

Publications

108.7K

Citations

2.4K

Authors

1K

Institutions

Publications per year

2017–2026

264

Authors

2.4K

  1. YC
    Yonina C. Eldar

    Technion – Israel Institute of Technology, Israel

    30 publications · 2K citations

    21

    h-index

  2. HP
    Housila P. Singh

    Vikram University, India

    26 publications · 952 citations

    17

    h-index

  3. JS
    Javid Shabbir

    Quaid-i-Azam University, Pakistan

    27 publications · 647 citations

    17

    h-index

  4. JN
    J. N. K. Rao

    Carleton University, Canada

    18 publications · 2.2K citations

    16

    h-index

  5. CK
    Cem Kadılar

    Hacettepe University, Türkiye

    16 publications · 770 citations

    14

    h-index

1–5 of 2.4K

Venues

  1. IEEE Transactions on Signal Processing

    82 publications · 5.9K citations

    44

    h-index

  2. Journal of the American Statistical Association

    98 publications · 12.2K citations

    41

    h-index

  3. Communication in Statistics- Theory and Methods

    86 publications · 3.6K citations

    32

    h-index

  4. The Annals of Statistics

    45 publications · 7.7K citations

    32

    h-index

  5. IEEE Transactions on Information Theory

    41 publications · 3K citations

    26

    h-index

1–5