Publication detail

On the application of bootstrapping to laser-induced breakdown spectroscopy data

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

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"
}