Spatiotemporal dynamics of soybean crop in the Matopiba region, Brazil (1990–2015)

MLS de Araújo, EE Sano, ÉL Bolfe, JRN Santos… - Land use policy, 2019 - Elsevier
Brazil is a world leader in the production and export of grains, particularly soybeans. The
newest agricultural frontier in Brazil is the Matopiba region, which is a continuous zone …

[HTML][HTML] Water quality predictions through linear regression-A brute force algorithm approach

ACP Fernandes, AR Fonseca, FAL Pacheco… - MethodsX, 2023 - Elsevier
Linear regression is one of the oldest statistical modeling approaches. Still, it is a valuable
tool, particularly when it is necessary to create forecast models with low sample sizes. When …

Spatial interpolation techniques to map rainfall in Southeast Brazil

LEO Aparecido, JRSC Moraes, RF Lima… - Revista Brasileira de …, 2022 - SciELO Brasil
The prediction, as well as the estimation of precipitation, is one of the challenges of the
scientific community in the world, due to the high spatial and seasonal variability of this …

[PDF][PDF] Assessment of dynamic linear and non-linear models on rainfall variations predicting of Iran.

M Javari - Agricultural Engineering International: CIGR Journal, 2017 - cigrjournal.org
The main research aims to detect the linear and nonlinear variability modeling in analyzing
the variability patterns of rainfall series. For rainfall linear and nonlinear variability modeling …

Alternative Confidence Interval for Variability Parameters in the Normal Distribution with Applications to Stock Exchange Index Data Set

P Sangnawakij, W Anlamlert - Austrian Journal of Statistics, 2023 - ajs.or.at
This work focusses on estimation the standard deviation (SD) and coefficient of variation
(CV) in the normal distribution. These two measures are useful in applications and widely …

Estudo da qualidade posicional e análise de padrões espaciais na distribuição de erros altimétricos em modelos digitais de elevação

DC SILVA - 2020 - repositorio.ufpe.br
Os avanços tecnológicos na área de informações geoespaciais vêm aumentando a
produção desse tipo de dado e, consequentemente, tornando cada vez mais necessários …

[引用][C] Modeling and forecasting of precipitation reoccurrence changes for controlling the climatic vulnerability in Iran