White Noise Testing

White Noise Testing is a statistical diagnostic procedure that determines whether a time series exhibits no significant autocorrelation at any lag, thereby distinguishing random noise from structured dependence patterns in autocorrelation analysis.

321

Publications

11.6K

Citations

829

Authors

390

Institutions

Publications per year

2017–2026

35

Variants

White Noise Test

Authors

829

  1. MH
    Marc Hallin

    Université Libre de Bruxelles, Belgium

    4 publications · 270 citations

    4

    h-index

  2. KZ
    K Zieliński

    Instytut Biologii Doświadczalnej im. Marcelego Nenckiego, Poland

    4 publications · 102 citations

    4

    h-index

  3. SS
    Steve S. Kraman

    University of Kentucky, United States

    3 publications · 71 citations

    3

    h-index

  4. DW
    Donald W. K. Andrews

    Yale University, United States

    3 publications · 113 citations

    3

    h-index

  5. HA
    H. A. Dengerink

    Washington State University, United States

    3 publications · 78 citations

    3

    h-index

1–5 of 829

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 32 publications · 1.2K citations

    21

    h-index

  2. Acta Oto-Laryngologica

    12 publications · 342 citations

    11

    h-index

  3. PubMed

    Repository · 10 publications · 275 citations

    10

    h-index

  4. Perceptual and Motor Skills

    11 publications · 334 citations

    10

    h-index

  5. International Journal of Audiology

    8 publications · 277 citations

    8

    h-index

1–5