Statistical Quality Assessment

Statistical Quality Assessment is a methodological framework within random number generation that evaluates the degree to which generated sequences conform to theoretical expectations of randomness through rigorous statistical testing.

348

Publications

31.9K

Citations

915

Authors

443

Institutions

Publications per year

2017–2026

66

Authors

915

  1. AP
    Alla P. Toropova

    Mario Negri Institute for Pharmacological Research, Italy

    7 publications · 148 citations

    7

    h-index

  2. AA
    Andrey A. Toropov

    Mario Negri Institute for Pharmacological Research, Italy

    7 publications · 148 citations

    7

    h-index

  3. JO
    James O. Westgard

    University of Wisconsin–Madison, United States

    7 publications · 264 citations

    7

    h-index

  4. DC
    Douglas C. Montgomery

    Arizona State University, United States

    6 publications · 10.1K citations

    6

    h-index

  5. SW
    Sten Westgard

    University of Wisconsin–Madison, United States

    4 publications · 160 citations

    4

    h-index

1–5 of 915

Venues

  1. Technometrics

    27 publications · 12.7K citations

    19

    h-index

  2. Journal of Quality Technology

    21 publications · 1.9K citations

    17

    h-index

  3. Journal of the American Statistical Association

    8 publications · 1.2K citations

    8

    h-index

  4. Clinical Chemistry

    5 publications · 1.2K citations

    5

    h-index

  5. JAMA

    4 publications · 315 citations

    4

    h-index

1–5