Sequential Confidence Intervals

Sequential Confidence Intervals is a statistical inference method that constructs confidence intervals for parameters of interest using data collected sequentially over time, distinguished by its adaptive sample size and optional stopping rules that maintain prescribed coverage probability.

139

Publications

7.4K

Citations

191

Authors

129

Institutions

Publications per year

2017–2026

14

Authors

191

  1. JR
    James R. Wilson

    North Carolina State University, United States

    9 publications · 241 citations

    9

    h-index

  2. NM
    Nitis Mukhopadhyay

    University of Connecticut, United States

    8 publications · 165 citations

    8

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  3. GB
    G. Barrie Wetherill

    Birkbeck, University of London, United Kingdom

    6 publications · 483 citations

    6

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  4. WD
    W. David Kelton

    University of Cincinnati, United States

    5 publications · 170 citations

    5

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  5. CJ
    Christopher Jennison

    University of Bath, United Kingdom

    5 publications · 546 citations

    5

    h-index

1–5 of 191

Venues

  1. The Annals of Mathematical Statistics

    13 publications · 1.3K citations

    12

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  2. The Annals of Statistics

    11 publications · 320 citations

    11

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  3. Biometrika

    10 publications · 472 citations

    10

    h-index

  4. Sequential Analysis

    7 publications · 135 citations

    7

    h-index

  5. 7

    h-index

1–5