Parametric and nonparametric bootstrap: an analysis of indoor air data from Kuwait
This paper discusses the performance of parametric and nonparametric bootstrap for confidence interval (CI) estimation applied to fine particulate matter (PM2.5) data. Preceding the estimation process, several models were investigated to predict PM2.5 concentrations from various tobacco smoking ven...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-05-01
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| Series: | Kuwait Journal of Science |
| Subjects: | |
| Online Access: | https://journalskuwait.org/kjs/index.php/KJS/article/view/1924 |
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