On the application of bootstrapping to laser-induced breakdown spectroscopy data,Journal of Analytical Atomic Spectrometry

当前位置： X-MOL 学术 › J. Anal. At. Spectrom. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

On the application of bootstrapping to laser-induced breakdown spectroscopy data
Journal of Analytical Atomic Spectrometry ( IF 3.1 ) Pub Date : 2019-10-24 , DOI: 10.1039/c9ja00304e
Erik Képeš _{1,

2,

3,

4} , Pavel Pořízka _{1,

2,

3,

4} , Jozef Kaiser _{1,

2,

3,

4}

Affiliation

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.

中文翻译：

自举在激光诱导击穿光谱数据中的应用

激光诱导击穿光谱（LIBS）数据的分析在很大程度上依赖于统计方法。最近，另一种公认的统计工具的应用已开始在LIBS分析中引起重视：自举法。在当前的工作中，我们调查了引导程序对通过各种数据获取策略收集的LIBS数据的影响，并提供了对该功能强大的统计工具的应用的一些见解。我们显示自举主要影响记录的光谱的标准偏差，而几乎不影响平均值。这将引导程序的适用性限制为简要讨论的特定情况。

更新日期：2019-11-28

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11