Hyperspeed method for analyzing organochloride pesticides in sediments using two-dimensional gas chromatography–time-of-flight mass spectrometry

This study aimed to identify and present applications of statistical methods in problems of agricultural and environmental nature. To achieve this objective, applied research of exploratory and quantitative nature was carried out. Two case studies were adopted as method and technical procedures. As a contribution to this research, the use of statistical methods in problem solving and as a tool for decision making is pointed out.

Section: Theoretical Referentialmentioning

confidence: 99%

Statistics as a tool for decision making in agricultural and environmental experiments

Rezende¹,

Rosa²,

Cardoso³

et al. 2023

“…PCA is sensitive to the relative scale of the original variables. Depending on the application area, PCA is also known as the discrete Karhunen-Loève transform (KLT), the Hotelling transform or the proper orthogonal decomposition (POD) (Mazza et al, 2022;Mo et al, 2017). PCA describes, in geometric terms of principal components, the covariance of variables (in this case, the RGB channels) using the smallest number of eigenvectors.…”

Section: Theoretical Referentialmentioning

confidence: 99%

Effect of pollution on physical and chemical water data: a multivariate statistical analysis

Fonseca,

Correa,

Santos

et al. 2023

This study aimed to show the importance and functionality of the tools of multivariate statistics in the environmental area, and more specifically on 13 water collection points of the Subaé River in the municipality of Feira de Santana, Bahia, an important Industrial Pole in the region, carried out with 3 samplings. To achieve this objective, applied research of exploratory nature and quantitative approach was carried out. As method and technical procedures were adopted, respectively, the bibliographic review, and a case study. As a contribution of this research, it is pointed out the holistic view of opportunities to carry out new research on the subject in question with the tools presented.

“…Today, statistics has made a significant contribution to the decision-making process because much of what is produced is based on quantitative methods, and statistics is one such area, especially in the spread of Industry 4.0 due to the enormous amount of data to be processed and manipulated. In the information and knowledge age, statistics uses mathematics to support business professionals, government and researchers (da Motta Reis et al, 2020;de Sousa Alvarenga et al, 2021;Gomes et al, 2022;Junior et al, 2023;Felipe C. Mazza et al, 2023;Felipe Cury Mazza et al, 2022;Mendonça et al, 2023;Menezes et al, 2023;Oliveira et al, 2023;Rezende et al, 2023;Santana et al, 2023;Veloso et al, 2023;Yamada et al, 2023).…”

Section: Industry 40mentioning

confidence: 99%

Comparison of financial results of companies with different production systems: a case study of lean manufacturing and industry 4.0

De Carvalho,

Machado,

De Medeiros

et al. 2023

This research article aims to compare two companies, one in the commercial aviation segment (E) and the other in the cosmetic segment (N), considering the differences presented between them in relation to their production systems using lean manufacturing tools and perspective on the technologies of industry 4.0. The methodology to be used is the Discounted Cash Flow (DCF), applying the method to the two companies and performing the analysis, discussion, and comparison of projections and enterprise value obtained for each one. In the end, company N obtained growth projections and enterprise value significantly higher than the results obtained by E, whose enterprise value presents a negative sign. The present research compared only two companies in one specific market segment. It is important to amplify the field of investigation for others and compare companies that belong to the same segment. As the implication, we have the fact that the figure of the COVID-19 pandemic period considered, and the answers from each company could be different to recover from the pandemic. This research work presents as originality the methodology of evaluating the financial impact of the companies which apply lean and Industry 4.0 tools in the open capital enterprise.