FunctionalCalibration: an R package for estimation in aggregated functional data model

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Sousa, Alex Rodrigo dos Santos, Perrone, Vitor Ribas
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866908936224899072
author Sousa, Alex Rodrigo dos Santos
Perrone, Vitor Ribas
author_facet Sousa, Alex Rodrigo dos Santos
Perrone, Vitor Ribas
contents We consider the statistical problem of estimating constituent curves from observations of their aggregated curves, referred to as aggregated functional data, in models with additive errors. A typical model arises in chemometrics via the Beer-Lambert law. The package FunctionalCalibration provides functions to estimate individual curves from aggregated curves by using splines or wavelet basis expansion.
format Preprint
id arxiv_https___arxiv_org_abs_2604_03284
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle FunctionalCalibration: an R package for estimation in aggregated functional data model
Sousa, Alex Rodrigo dos Santos
Perrone, Vitor Ribas
Computation
Methodology
We consider the statistical problem of estimating constituent curves from observations of their aggregated curves, referred to as aggregated functional data, in models with additive errors. A typical model arises in chemometrics via the Beer-Lambert law. The package FunctionalCalibration provides functions to estimate individual curves from aggregated curves by using splines or wavelet basis expansion.
title FunctionalCalibration: an R package for estimation in aggregated functional data model
topic Computation
Methodology
url https://arxiv.org/abs/2604.03284