Extending DFA-based multiple linear regression inference: Application to acoustic impedance models

Sentinel-5P TROPOMI satellite application for NO2 and CO studies aiming at environmental valuation

“…Next, the data of the variables assigned by the respondents were compared in relation to WTP (Brandli et al, 2014;Neckel et al, 2020). The most significant variables were identified through the Linear Regression Model (LRM) (Barreto et al, 2021), empirically, related to the WTP of the respondents, to perform the performance of statistical tests of each of the 514 respondents, thus allowing a high reliability of the data analyzed using the LRM, aimed at evaluating the preference of respondents in relation to improvements in air quality, using the CVM (Brandli et al, 2014;Xie and Zhao, 2018;Neckel et al, 2020;Wang et al, 2020;Moon et al, 2021).…”

“…12 A, B, C, D, E, F and G) aimed at air quality (Table 6), these data, which were contrary to the results of Brandli et al (2014) and Neckel et al (2020), where individuals with the highest degree of schooling were the ones who attributed the highest values to environmental goods. These diversity of opinions are extremely understandable in valuation studies, the application of the CVM, when related to values of importance of the environmental good, vary based on the individuals who complete the questionnaire (Barreto et al, 2021;Perni et al, 2021).…”

“…12) (Brandli et al, 2014;Xie and Zhao, 2018;Neckel et al, 2020;Wang et al, 2020;Moon et al, 2021), which prove the actual levels of contamination by NO 2 and CO during the sampled period. This technical information makes it possible to base the population on attributing WTP to the environmental good (Brandli et al, 2014;Neckel et al, 2020;Barreto et al, 2021;Perni et al, 2021). Thus, of the 514 respondents (100%), 73.93% would be willing to pay to obtain improvements in Passo Fundo's air quality, as opposed to 26.07% of the respondents who would not pay any amount.…”

“…The applicability of the Regression Equation, for Barreto et al (2021) and Nab et al (2021), is extremely important to delimit the most significant variables attributed to the demographic information of the population of the analyzed sample. Through the results of this study, from the answers acquired by the 514 questionnaires, MS Excel was utilized for the generation of the empirical model, with the application of the linear regression equation, having the DBH as the dependent variable.…”

“…Through the results of this study, from the answers acquired by the 514 questionnaires, MS Excel was utilized for the generation of the empirical model, with the application of the linear regression equation, having the DBH as the dependent variable. As the methodology established by Brandli et al (2014), Xie and Zhao (2018), Neckel et al (2020), Wang et al (2020), Barreto et al (2021), Moon et al (2021) and Nab et al (2021) applied in this study, came to Equation (1), applied to the valuation of the air quality of the City of Passo Fundo, with population and control variables related to the DBH value (Table 7):…”