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Distribution spread and location metrics using entropic separation

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  • Bowden, Roger J.

Abstract

Distribution spread as a separation width is formalised using partition entropy, resulting in a metric for dispersion with associated end points. The binary framework resolves interpretive and other limitations of the traditional differential entropy metric, and is robust to distributional shape.

Suggested Citation

  • Bowden, Roger J., 2017. "Distribution spread and location metrics using entropic separation," Statistics & Probability Letters, Elsevier, vol. 124(C), pages 148-153.
    • Handle: RePEc:eee:stapro:v:124:y:2017:i:c:p:148-153
    DOI: 10.1016/j.spl.2017.01.011
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    References listed on IDEAS

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    1. Bowden, Roger J., 2016. "Giving Gini direction: An asymmetry metric for economic disadvantage," Economics Letters, Elsevier, vol. 138(C), pages 96-99.
    2. Jongwoo Jeon & Subhash Kochar & Chul Park, 2006. "Dispersive ordering—Some applications and examples," Statistical Papers, Springer, vol. 47(2), pages 227-247, March.
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