Paper Info
Title
Robust Estimation of Carbon Monoxide Measurements.
Abstract
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.
Year
DOI
Venue
2020
10.3390/s20174958
SENSORS
Keywords
DocType
Volume
carbon monoxide,nonparametric statistical inference,robust central tendency estimation,robust scale estimation,nonparametric confidence interval,robust confidence interval
Journal
20
Issue
ISSN
Citations 
17
1424-8220
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Wilmar Hernandez12815.89
Alfredo Mendez200.34