Aggregated functional data model for near-infrared spectroscopy calibration and prediction

DOI10.1080/02664763.2014.938224OpenAlexW2592308760WikidataQ101496375 ScholiaQ101496375MaRDI QIDQ5130134

Marley A. Saraiva, Nancy L. Garcia, Ronaldo Dias, Guilherme Ludwig

Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.4066

zbMATH Keywords

B-splinessquare error of predictionleave-one-out jackknife

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Chemistry (92E99)

Related Items (3)

Unnamed Item ⋮ Partially linear models and their applications to change point detection of chemical process data ⋮ Wavelet estimation of the dimensionality of curve time series

Uses Software

• fda (R)
• ElemStatLearn
• Unnamed Item

Cites Work

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• Unnamed Item
• Unnamed Item
• Unnamed Item
• A practical guide to splines
• Statistical modeling: The two cultures. (With comments and a rejoinder).
• A study of logspline density estimation
• Functional data analysis.
• Semi-functional partial linear regression
• Nonparametric functional data analysis. Theory and practice.
• Sequential adaptive nonparametric regression via h-splines

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