Statistics as a tool for decision making in agricultural and environmental experiments-Reference-Cited by-同舟云学术

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

Published:2023-04-19 Issue:4 Volume:14 Page:5204-5217
ISSN:2178-9010
Container-title:Revista de Gestão e Secretariado (Management and Administrative Professional Review)
language:
Short-container-title:R. G. Secr.

Author:

Rezende Marcela Dantas^ORCID,Da Rosa Camila Santos^ORCID,Cardoso Ronald Palandi^ORCID,Reis José Salvador da Motta^ORCID,Sampaio Nilo Antonio de Souza^ORCID

Abstract

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.

Publisher

South Florida Publishing LLC

Subject

Materials Science (miscellaneous)

Reference24 articles.

1. Askarzadeh, A. (2016). A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm. Computers and Structures, 169, 1–12. https://doi.org/10.1016/j.compstruc.2016.03.001

2. Bertrand, J. W. M., & Fransoo, J. C. (2002). Operations management research methodologies using quantitative modeling. International Journal of Operations and Production Management, 22(2), 241–264. https://doi.org/10.1108/01443570210414338

3. Broniatowski, M., & Caron, V. (2013). Conditional Inference in Parametric Models. Statistical Models and Methods for Reliability and Survival Analysis, 9781848216, 125–143. https://doi.org/10.1002/9781118826805.ch9

4. 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.

5. Cardoso, R. P., Reis, J. S. da M., Silva, D. E. W., Barros, J. G. M. de, & Sampaio, N. A. de S. (2023). How to Perform a Simultaneous Optimization with Several Response Variables. Revista de Gestão e Secretariado, 14(1), 564–578. https://doi.org/10.7769/gesec.v14i1.1536

Cited by 16 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. Comparison of financial results of companies with different production systems: a case study of lean manufacturing and industry 4.0;Revista de Gestão e Secretariado;2023-12-13

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

3. 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

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

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