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KÉPEŠ, E. POŘÍZKA, P. KAISER, J.
Original Title
On the application of bootstrapping to laser-induced breakdown spectroscopy data
Type
journal article in Web of Science
Language
English
Original Abstract
The analysis of laser-induced breakdown spectroscopy (LIBS) data heavily relies on statistical approaches. Recently, the application of another well-established statistical tool has started gaining prominence in LIBS analysis: bootstrapping. In the present work, we investigate the impact of bootstrapping on LIBS data collected by various data acquisition strategies and provide some insights into the application of this powerful statistical tool. We show that bootstrapping primarily affects the standard deviation of the recorded spectra, while barely affecting the mean values. This limits the applicability of bootstrapping to specific cases which are briefly discussed.
Keywords
laser-induced breakdown spectroscopy, statistics, bootstrapping
Authors
KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J.
Released
24. 10. 2019
Publisher
ROYAL SOC CHEMISTRY
Location
CAMBRIDGE
ISBN
1364-5544
Periodical
Journal of Analytical Atomic Spectrometry
Year of study
34
Number
12
State
United Kingdom of Great Britain and Northern Ireland
Pages from
2411
Pages to
2419
Pages count
9
URL
https://pubs.rsc.org/en/content/articlelanding/2019/ja/c9ja00304e#!divAbstract
BibTex
@article{BUT159534, author="Erik {Képeš} and Pavel {Pořízka} and Jozef {Kaiser}", title="On the application of bootstrapping to laser-induced breakdown spectroscopy data", journal="Journal of Analytical Atomic Spectrometry", year="2019", volume="34", number="12", pages="2411--2419", doi="10.1039/c9ja00304e", issn="1364-5544", url="https://pubs.rsc.org/en/content/articlelanding/2019/ja/c9ja00304e#!divAbstract" }