Variance Heterogeneity

Variance Heterogeneity is a statistical phenomenon in which the variability of residuals across observations is not constant, distinguishing it from homoscedasticity by exhibiting non-uniform dispersion that depends on predictor variables or subgroups within the data.

161

Publications

13.7K

Citations

324

Authors

182

Institutions

Publications per year

2017–2026

17

Variants

HeteroscedasticityHeteroskedasticity

Authors

324

  1. HJ
    H. J. Keselman

    University of Manitoba, Canada

    18 publications · 826 citations

    15

    h-index

  2. RR
    Rand R. Wilcox

    University of Southern California, United States

    8 publications · 447 citations

    8

    h-index

  3. JC
    Joanne C. Rogan

    University of Manitoba, Canada

    5 publications · 234 citations

    5

    h-index

  4. DW
    Donald W. Zimmerman

    Carleton University, Canada

    4 publications · 237 citations

    4

    h-index

  5. ÖC
    Örjan Carlborg

    Swedish University of Agricultural Sciences, Sweden

    4 publications · 259 citations

    4

    h-index

1–5 of 324

Venues

  1. Biometrics

    8 publications · 480 citations

    8

    h-index

  2. 7

    h-index

  3. 6

    h-index

  4. Psychological Bulletin

    6 publications · 624 citations

    6

    h-index

  5. The Journal of Experimental Education

    6 publications · 316 citations

    6

    h-index

1–5