Effect of pollution on physical and chemical water data: a multivariate statistical analysis-Reference-Cited by-同舟云学术

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

Published:2023-05-10 Issue:5 Volume:14 Page:7353-7366
ISSN:2178-9010
Container-title:Revista de Gestão e Secretariado (Management and Administrative Professional Review)
language:
Short-container-title:R. G. Secr.

Author:

Fonseca Dangelys^ORCID,Correa Marcus Paulo de Oliveira^ORCID,Santos Ramona Rodrigues^ORCID,Cardoso Ronald Palandi^ORCID,Reis José Salvador da Motta^ORCID,Sampaio Nilo Antonio de Souza^ORCID

Abstract

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.

Publisher

South Florida Publishing LLC

Subject

Materials Science (miscellaneous)

Reference35 articles.

1. Alboukaey, N., Joukhadar, A., & Ghneim, N. (2020). Dynamic behavior based churn prediction in mobile telecom. Expert Systems with Applications, 162, 113779. https://doi.org/10.1016/j.eswa.2020.113779

2. Broniatowski, M., & Caron, V. (2014). Conditional Inference in Parametric Models. In Statistical Models and Methods for Reliability and Survival Analysis (Vol. 9781848216, pp. 125–143). John Wiley & Sons, Inc. https://doi.org/10.1002/9781118826805.ch9

3. Cardoso, R. P., Reis, J. S. D. M., Silva, D. E. W., Almeida, M. da gloria diniz de, Barros, J. G. M. de, & Sampaio, N. A. de S. (2023). Scientific Research Trends About Metaheuristics in Process Optimization and Case Study Using the Desirability Function. Revista de Gestão e Secretariado, 14(3), 3348–3367.

4. Chakraborty, S., Agarwal, S., & Dandge, S. S. (2018). Analysis of Cotton Fibre Properties: A Data Mining Approach. Journal of The Institution of Engineers (India): Series E, 99(2), 163–176. https://doi.org/10.1007/s40034-018-0125-4

5. Coelho de Oliveira, H., Elias da Cunha Filho, J. C., Rocha, J. C., & Fernández Núñez, E. G. (2017). Rapid monitoring of beer-quality attributes based on UV-Vis spectral data. International Journal of Food Properties, 20(July), 1–14. https://doi.org/10.1080/10942912.2017.1352602

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using statistical techniques to validate the hypothesis of independence in control charts;Revista de Gestão e Secretariado;2023-12-13

2. Using statistical analysis to evaluate the water quality index in the Southern Region of the State of Rio de Janeiro;Revista de Gestão e Secretariado;2023-12-08

3. Using the attribute control chart to monitor a chemical manufacturing process;Revista de Gestão e Secretariado (Management and Administrative Professional Review);2023-11-07

4. Using the paired T-Test to compare suppliers;Revista de Gestão e Secretariado (Management and Administrative Professional Review);2023-10-26

5. Application of the exponential distribution to improve environmental quality in a company in the south of Rio de Janeiro State;Revista de Gestão e Secretariado (Management and Administrative Professional Review);2023-09-27