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, Marco; Fensore, Stefania; Panzera, Agnese; Passamonti, Chiara. - STAMPA. - (2025), pp. 153-158. (Intervento presentato al convegno 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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
