Censoring Distribution

Censoring Distribution is a probability distribution that models the mechanism generating censored observations in a statistical analysis, distinguishing itself from other distributions by specifying the likelihood of censoring events rather than the underlying event times.

861

Publications

49.5K

Citations

1.4K

Authors

722

Institutions

Publications per year

2017–2026

173

Authors

1.4K

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    28 publications · 1.3K citations

    20

    h-index

  2. EM
    Ehab M. Almetwally

    Delta University for Science and Technology, Egypt

    20 publications · 630 citations

    16

    h-index

  3. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    13 publications · 978 citations

    13

    h-index

  4. US
    Umesh Singh

    Banaras Hindu University, India

    12 publications · 339 citations

    12

    h-index

  5. IV
    Ingrid Van Keilegom

    UCLouvain, Belgium

    10 publications · 435 citations

    10

    h-index

1–5 of 1.4K

Venues

  1. Journal of the American Statistical Association

    53 publications · 3.6K citations

    29

    h-index

  2. Biometrics

    31 publications · 2.7K citations

    27

    h-index

  3. Biometrika

    41 publications · 3.8K citations

    27

    h-index

  4. Statistics in Medicine

    42 publications · 2K citations

    24

    h-index

  5. Communication in Statistics- Theory and Methods

    37 publications · 1.4K citations

    21

    h-index

1–5