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Spline Models for Observational Data

Wahba, Grace·1990·Society for Industrial and Applied Mathematics eBooks

DOI 10.1137/1.9781611970128

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Authors: Wahba, G.
Affiliations: University of Wisconsin–Madison (US)
Corresponding author: Wahba, Grace
Venue: Society for Industrial and Applied Mathematics eBooks
Publisher: Society for Industrial and Applied Mathematics
Published: 1990-01-01
DOI: 10.1137/1.9781611970128
OpenAlex: W4298876635
Cited by: 4,184
References: 0
Citations by year: 2026: 89 · 2025: 147 · 2024: 135 · 2023: 141 · 2022: 156 · 2021: 191 · 2020: 184 · 2019: 154 · 2018: 165 · 2017: 156 · 2016: 140 · 2015: 152 · 2014: 156 · 2013: 161 · 2012: 163
FWCI: 17.89
Type: book
Language: en
Open access: closed
Locations: Society for Industrial and Applied Mathematics eBooks (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
Keywords: spline models, smoothing splines, nonparametric regression, penalized splines, bandwidth selection, loess

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