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Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Discrete functional data analysis

2007
In this paper, we try to extend the framework of Functional Data Analysis (FDA). FDA is an exciting theme that continues development in data analysis. We can sometimes find out valuable information through FDA. Most methods on FDA assume that the functions that represent data are differentiable.
openaire   +1 more source

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel   +2 more
exaly  

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly  

Functional Data Analysis for Spectroscopy Data

2020
We propose a functional data analysis approach for the study of spectroscopy data. The applicative problem concerns the characterization of the spectral response of silicate glasses in order to infer the chemical composition of the materials from spectral data, which can be remotely collected.
M. S. Bernardi   +8 more
openaire   +1 more source

Geostatistical Functional Data Analysis

Journal of the Royal Statistical Society Series A: Statistics in Society, 2023
openaire   +1 more source

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