Curtailed Sampling

Curtailed Sampling is a sequential testing procedure in statistical inference that belongs to the class of sampling methods characterized by the early termination of data collection upon achieving sufficient evidence to determine the outcome, thereby distinguishing it from fixed-sample and fully sequential designs by minimizing sample size without compromising decision accuracy.

14

Publications

312

Citations

34

Authors

26

Institutions

Publications per year

2017–2026

0

Variants

Truncated Sampling

Authors

34

  1. AG
    A. G. Phatak

    Maharaja Sayajirao University of Baroda, India

    2 publications · 39 citations

    2

    h-index

  2. SW
    Stephen W. Looney

    Augusta University, United States

    2 publications · 38 citations

    2

    h-index

  3. WW
    William W. Williams

    Louisiana State University, United States

    1 publications · 25 citations

    1

    h-index

  4. CA
    Carl A. Latkin

    Johns Hopkins University, United States

    1 publications · 28 citations

    1

    h-index

  5. TT
    Tzong‐Ru Tsai

    Tamkang University, Taiwan

    1 publications · 12 citations

    1

    h-index

1–5 of 34

Venues

  1. Technometrics

    5 publications · 87 citations

    5

    h-index

  2. Statistics in Medicine

    1 publications · 41 citations

    1

    h-index

  3. Controlled Clinical Trials

    1 publications · 10 citations

    1

    h-index

  4. Canadian Journal of Statistics

    CJS · 1 publications · 23 citations

    1

    h-index

  5. Journal of Statistical Computation and Simulation

    JSCS · 1 publications · 20 citations

    1

    h-index

1–5