2018
DOI: 10.17628/ecb.2018.7.98-105
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Modeling of the Function of Distribution of the Ozone Concentration of Surface to Urban Areas

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Cited by 5 publications
(3 citation statements)
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“…Figure 1 shows the map of Brazil with the coordinates of Campo Grande city (Latitude: −20˚26'34.01''S; Longitude: −54˚38'47.00''W). It occupies a total surface area of 8,096.051 km 2 and an urban area of 154.45 km 2 [35]. The estimated population in 2018 in the state is 2,748,023 people.…”
Section: Research Areamentioning
confidence: 99%
“…Figure 1 shows the map of Brazil with the coordinates of Campo Grande city (Latitude: −20˚26'34.01''S; Longitude: −54˚38'47.00''W). It occupies a total surface area of 8,096.051 km 2 and an urban area of 154.45 km 2 [35]. The estimated population in 2018 in the state is 2,748,023 people.…”
Section: Research Areamentioning
confidence: 99%
“…Several studies of adjustment of probability density distribution or probability estimates using theoretical models of probability in relation to a historical series of data have been developed, highlighting the benefits in the planning of activities that minimize the risks, among which can be cited: precipitation (Catalunha, et al, 2002;Dallacort, et al, 2011;Hartmann, et al, 2011;Rodrigues, et al, 2014;Kist & Virgens Filho, 2015), air temperature (Assis, et al, 2018;Araújo, et al, 2010), concentration of pollutant gases (Souza, et al, 2018a;2018b), for the historical series of hospital admissions for respiratory diseases there are no published works with this methodology.…”
Section: Introductionmentioning
confidence: 99%
“…The continuous probability distributions are widely used in several probabilistic studies, [1][2][3][4][5][6][7] due to the adjustment of their variables, which may not be perfect, but they describe a real situation well, providing answers to the hypotheses that may have been raised in the research. According to Ferreira,8 the random variables of the continuous distributions are those that assume their values in a real scale, modeled by a density function f(x) with the following properties:…”
Section: Introductionmentioning
confidence: 99%