Censored Distributions

Censored Distributions is a type of probability distribution that models random variables whose values are only partially observed due to censoring, where the incomplete observation arises when measurements fall below or above predefined thresholds, distinguishing it from other distributions by incorporating the probabilistic structure of truncated or interval-censored data.

1.5K

Publications

81.2K

Citations

2.2K

Authors

1K

Institutions

Publications per year

2017–2026

285

Authors

2.2K

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    77 publications · 4.5K citations

    33

    h-index

  2. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    29 publications · 2.3K citations

    23

    h-index

  3. EM
    Ehab M. Almetwally

    Delta University for Science and Technology, Egypt

    23 publications · 760 citations

    19

    h-index

  4. AC
    Arthur Cohen

    University of Georgia, United States

    19 publications · 3K citations

    17

    h-index

  5. YM
    Yogesh Mani Tripathi

    Indian Institute of Technology Patna, India

    17 publications · 470 citations

    14

    h-index

1–5 of 2.2K

Venues

  1. Technometrics

    90 publications · 6.4K citations

    40

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  2. Journal of the American Statistical Association

    66 publications · 4.5K citations

    33

    h-index

  3. Journal of Statistical Computation and Simulation

    JSCS · 73 publications · 2.9K citations

    32

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  4. Biometrika

    42 publications · 2.9K citations

    27

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  5. Computational Statistics & Data Analysis

    CSDA · 38 publications · 1.9K citations

    25

    h-index

1–5