Sequential Probability Ratio Testing

Sequential Probability Ratio Testing is a statistical hypothesis testing method that belongs to the class of sequential analysis techniques, distinguished by its use of a likelihood ratio criterion to sequentially evaluate data and make early decisions about accepting or rejecting a hypothesis as soon as sufficient evidence is accumulated.

406

Publications

22.7K

Citations

842

Authors

411

Institutions

Publications per year

2017–2026

43

Variants

Sprt

Authors

842

  1. ST
    S. Tantaratana

    University of Massachusetts Amherst, United States

    7 publications · 246 citations

    7

    h-index

  2. MK
    Martin Kulldorff

    Harvard University, United States

    6 publications · 843 citations

    6

    h-index

  3. MR
    Marion R. Reynolds

    Virginia Tech, United States

    5 publications · 273 citations

    5

    h-index

  4. RA
    Robert A. Wijsman

    University of Illinois Urbana-Champaign, United States

    5 publications · 71 citations

    5

    h-index

  5. XX
    Xiaoping Xiong

    St. Jude Children's Research Hospital, United States

    5 publications · 143 citations

    5

    h-index

1–5 of 842

Venues

  1. The Annals of Mathematical Statistics

    26 publications · 5.2K citations

    17

    h-index

  2. IEEE Transactions on Information Theory

    18 publications · 1.3K citations

    15

    h-index

  3. Technometrics

    16 publications · 1.3K citations

    12

    h-index

  4. The Annals of Statistics

    12 publications · 852 citations

    11

    h-index

  5. Journal of the American Statistical Association

    13 publications · 561 citations

    11

    h-index

1–5