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Proportion or compositional data are a kind of data in which the individual components represent parts of a whole and, therefore, are constrained by a constant sum. We discuss kernel density estimation for compositional variables observed with errors by using a deconvolution approach. An application of the proposed method in social sciences is considered.

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A Note on Density Estimation for Proportion Data Observed with Errors

  • 会议论文

  • 发表日期：

    2025年

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  • Marco Di Marzio,
  • Stefania Fensore,
  • Agnese Panzera,
  • Chiara Passamonti

摘要

Proportion or compositional data are a kind of data in which the individual components represent parts of a whole and, therefore, are constrained by a constant sum. We discuss kernel density estimation for compositional variables observed with errors by using a deconvolution approach. An application of the proposed method in social sciences is considered.