Estimation Under Censoring

Estimation Under Censoring is a statistical methodology within risk estimation that specifically addresses the challenge of incomplete data by inferring the distribution or parameters of interest when observations are only partially observed due to censoring mechanisms.

3K

Publications

282K

Citations

3.6K

Authors

1.5K

Institutions

Publications per year

2017–2026

476

Authors

3.6K

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    93 publications · 5.6K citations

    38

    h-index

  2. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    27 publications · 2.2K citations

    23

    h-index

  3. EM
    Ehab M. Almetwally

    Delta University for Science and Technology, Egypt

    24 publications · 775 citations

    20

    h-index

  4. AC
    Arthur Cohen

    University of Georgia, United States

    25 publications · 3.6K citations

    20

    h-index

  5. IV
    Ingrid Van Keilegom

    UCLouvain, Belgium

    25 publications · 786 citations

    18

    h-index

1–5 of 3.6K

Venues

  1. Journal of the American Statistical Association

    178 publications · 21K citations

    65

    h-index

  2. Biometrika

    160 publications · 14.1K citations

    58

    h-index

  3. Biometrics

    136 publications · 10.5K citations

    53

    h-index

  4. The Annals of Statistics

    96 publications · 9K citations

    51

    h-index

  5. Technometrics

    112 publications · 20.9K citations

    47

    h-index

1–5