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.
A Note on Density Estimation for Proportion Data Observed with Errors / Di Marzio, M., Fensore, S., Panzera, A., Passamonti, C.. - STAMPA. - (2025), pp. 153-158. (SIS 2025 ) [10.1007/978-3-031-95995-0_26].
A Note on Density Estimation for Proportion Data Observed with Errors
Panzera, Agnese
;
2025
Abstract
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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