Measures Of Spread

Measures of Spread is a statistical construct that quantifies the degree of dispersion or variability within a data set, distinguishing itself from measures of central tendency by characterizing how far individual observations deviate from the center.

61

Publications

2.8K

Citations

141

Authors

86

Institutions

Publications per year

2017–2026

13

Variants

Measures Of DispersionMeasures Of VariabilityMeasures Of Variation

Authors

141

  1. SC
    Subhash C. Kochar

    Indian Statistical Institute, India

    2 publications · 122 citations

    2

    h-index

  2. LH
    Lawrence Harris

    University of Southern California, United States

    2 publications · 264 citations

    2

    h-index

  3. NS
    Negin Samadi

    University of Tabriz, Iran

    2 publications · 132 citations

    2

    h-index

  4. CW
    Craig W. Holden

    Indiana University, United States

    2 publications · 167 citations

    2

    h-index

  5. JM
    José Muñoz Pérez

    Universidad de Málaga, Spain

    2 publications · 122 citations

    2

    h-index

1–5 of 141

Venues

  1. 3

    h-index

  2. Journal of Applied Probability

    JAP · 2 publications · 122 citations

    2

    h-index

  3. Teaching Statistics

    2 publications · 25 citations

    2

    h-index

  4. The Journal of Finance

    2 publications · 264 citations

    2

    h-index

  5. Journal of Atmospheric and Solar-Terrestrial Physics

    JASTP · 2 publications · 38 citations

    2

    h-index

1–5