Diehard Tests

Diehard Tests is a comprehensive statistical test suite designed to evaluate the quality of random number generators by subjecting them to a series of stringent randomness assessments that detect non-random patterns and biases.

39

Publications

2K

Citations

99

Authors

42

Institutions

Publications per year

2017–2026

11

Variants

Diehard BatteryDiehard Statistical Test Suite

Authors

99

  1. JM
    Jonathan M. Comer

    The University of Texas at Tyler, United States

    2 publications · 49 citations

    2

    h-index

  2. DH
    David H. K. Hoe

    The University of Texas at Tyler, United States

    2 publications · 49 citations

    2

    h-index

  3. GM
    George Marsaglia

    Florida State University, United States

    2 publications · 167 citations

    2

    h-index

  4. KW
    Knut Wold

    Ko-Aks (Norway), Norway

    2 publications · 293 citations

    2

    h-index

  5. JA
    Johan A. K. Suykens

    KU Leuven, Belgium

    2 publications · 296 citations

    2

    h-index

1–5 of 99

Venues

  1. Journal of Statistical Software

    JSS · 2 publications · 167 citations

    2

    h-index

  2. 2

    h-index

  3. Optics Express

    2 publications · 46 citations

    2

    h-index

  4. 1

    h-index

  5. Acta Physica Sinica

    1 publications · 11 citations

    1

    h-index

1–5