Minimum Variance Unbiased Estimation

Minimum Variance Unbiased Estimation is an estimation method that belongs to the class of unbiased estimators and is distinguished by having the smallest variance among all unbiased estimators of a parameter.

477

Publications

33.4K

Citations

813

Authors

440

Institutions

Publications per year

2017–2026

51

Authors

813

  1. CH
    Chien‐Shu Hsieh

    Ta Hwa University of Science and Technology, Taiwan

    6 publications · 554 citations

    6

    h-index

  2. PV
    P. Vellaisamy

    Indian Institute of Technology Bombay, India

    6 publications · 104 citations

    6

    h-index

  3. ES
    Erchin Serpedin

    Texas A&M University, United States

    6 publications · 137 citations

    6

    h-index

  4. CR
    C. Radhakrishna Rao

    Pennsylvania State University, United States

    5 publications · 677 citations

    5

    h-index

  5. YM
    Yogesh Mani Tripathi

    Indian Institute of Technology Patna, India

    5 publications · 202 citations

    5

    h-index

1–5 of 813

Venues

  1. Journal of the American Statistical Association

    40 publications · 1.9K citations

    21

    h-index

  2. Communication in Statistics- Theory and Methods

    34 publications · 1.1K citations

    20

    h-index

  3. Technometrics

    27 publications · 6.1K citations

    19

    h-index

  4. The Annals of Mathematical Statistics

    26 publications · 1.7K citations

    19

    h-index

  5. Biometrics

    13 publications · 1.5K citations

    13

    h-index

1–5