On the application of bootstrapping to laser-induced breakdown spectroscopy data
| Autor: | Pavel Pořízka, Erik Képeš, Jozef Kaiser |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
010401 analytical chemistry Bootstrapping (linguistics) 010501 environmental sciences computer.software_genre 01 natural sciences Standard deviation 0104 chemical sciences Analytical Chemistry Data acquisition Laser-induced breakdown spectroscopy Data mining computer Spectroscopy 0105 earth and related environmental sciences |
| Zdroj: | Journal of Analytical Atomic Spectrometry. 34:2411-2419 |
| ISSN: | 1364-5544 0267-9477 |
| DOI: | 10.1039/c9ja00304e |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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