Robust Estimation of Carbon Monoxide Measurements
This paper presents a robust analysis of carbon monoxide (CO) concentration measurements conducted at the Belisario air-quality monitoring station (Quito, Ecuador). For the analysis, the data collected from 1 January 2008 to 31 December 2019 were considered. Additionally, each of the twelve years an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/17/4958 |
| _version_ | 1827707024952000512 |
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| author | Wilmar Hernandez Alfredo Mendez |
| author_facet | Wilmar Hernandez Alfredo Mendez |
| author_sort | Wilmar Hernandez |
| collection | DOAJ |
| description | This paper presents a robust analysis of carbon monoxide (CO) concentration measurements conducted at the Belisario air-quality monitoring station (Quito, Ecuador). For the analysis, the data collected from 1 January 2008 to 31 December 2019 were considered. Additionally, each of the twelve years analyzed was considered as a random variable, and robust location and scale estimators were used to estimate the central tendency and dispersion of the data. Furthermore, classic, nonparametric, bootstrap, and robust confidence intervals were used to group the variables into categories. Then, differences between categories were quantified using confidence intervals and it was shown that the trend of CO concentration at the Belisario station in the last twelve years is downward. The latter was proven with the precision provided by both nonparametric and robust statistical methods. The results of the research work robustly proved that the CO concentration at Belisario station in the last twelve years is not considered a health risk, according to the criteria established by the Quito Air Quality Index. |
| first_indexed | 2024-03-10T16:38:41Z |
| format | Article |
| id | doaj.art-5f2391c3947b4f9abe253df28dc679ce |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:38:41Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5f2391c3947b4f9abe253df28dc679ce2023-11-20T12:14:17ZengMDPI AGSensors1424-82202020-09-012017495810.3390/s20174958Robust Estimation of Carbon Monoxide MeasurementsWilmar Hernandez0Alfredo Mendez1Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito 170125, EcuadorDepartamento de Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones, ETS de Ingeniería y Sistemas de Telecomunicación, Universidad Politécnica de Madrid, 28031 Madrid, SpainThis paper presents a robust analysis of carbon monoxide (CO) concentration measurements conducted at the Belisario air-quality monitoring station (Quito, Ecuador). For the analysis, the data collected from 1 January 2008 to 31 December 2019 were considered. Additionally, each of the twelve years analyzed was considered as a random variable, and robust location and scale estimators were used to estimate the central tendency and dispersion of the data. Furthermore, classic, nonparametric, bootstrap, and robust confidence intervals were used to group the variables into categories. Then, differences between categories were quantified using confidence intervals and it was shown that the trend of CO concentration at the Belisario station in the last twelve years is downward. The latter was proven with the precision provided by both nonparametric and robust statistical methods. The results of the research work robustly proved that the CO concentration at Belisario station in the last twelve years is not considered a health risk, according to the criteria established by the Quito Air Quality Index.https://www.mdpi.com/1424-8220/20/17/4958carbon monoxidenonparametric statistical inferencerobust central tendency estimationrobust scale estimationnonparametric confidence intervalrobust confidence interval |
| spellingShingle | Wilmar Hernandez Alfredo Mendez Robust Estimation of Carbon Monoxide Measurements Sensors carbon monoxide nonparametric statistical inference robust central tendency estimation robust scale estimation nonparametric confidence interval robust confidence interval |
| title | Robust Estimation of Carbon Monoxide Measurements |
| title_full | Robust Estimation of Carbon Monoxide Measurements |
| title_fullStr | Robust Estimation of Carbon Monoxide Measurements |
| title_full_unstemmed | Robust Estimation of Carbon Monoxide Measurements |
| title_short | Robust Estimation of Carbon Monoxide Measurements |
| title_sort | robust estimation of carbon monoxide measurements |
| topic | carbon monoxide nonparametric statistical inference robust central tendency estimation robust scale estimation nonparametric confidence interval robust confidence interval |
| url | https://www.mdpi.com/1424-8220/20/17/4958 |
| work_keys_str_mv | AT wilmarhernandez robustestimationofcarbonmonoxidemeasurements AT alfredomendez robustestimationofcarbonmonoxidemeasurements |