A5047515140- Agricultural and Food Sciences
- Obesity, Physical Activity, Diet
- Market Dynamics and Volatility
- Agricultural Economics and Practices
- Coal and Coke Industries Research
- Rural Development and Agriculture
- Monetary Policy and Economic Impact
- Statistical and Computational Modeling
- Global Trade and Competitiveness
- Quality and Supply Management
Universidade Federal de Santa Maria
2020-2022
ABSTRACT: The objective of this research was to forecast the Brazilian national production agricultural and road machinery in short term by BOX & JENKINS methodology determine persistence effect. Data were obtained at National Association Automotive Vehicle Manufacturers (ANFAVEA) from January 1960 October 2019, totaling 718 monthly observations. Autoregressive Integrated Moving Average (ARIMA) Conditional Heteroscedasticity (ARCH) used. ARIMA (2,1,1)-ARCH (2) model fitted 0.60...
Objetivo: modelar a proporção de adultos do continente africano no ano 2016 por meio covariáveis. Método: modelo regressão beta, o conjunto dados utilizado estudo foi coletado site da Organização Mundial Saúde (OMS), provenientes 43 países pertencentes ao africano, divididos em 5 regiões África. As variáveis utilizadas foram obesos (y) como variável resposta, e explicativas as expectativa vida nascer (em anos) (x1); álcool (consumo per capita registrado) (x2); prevalência atividade física...
This research aims to present a literature review (LR) on control charts for autocorrelated processes, intending contribute the scientific knowledge of process management area. The article was constructed having question defined ex-ante, elaborated based literature, where protocol adapted from Tranfield, Denyer, and Smart (2003) systematized according methodological rigor demanded in review, which resulted composition corpus. corpus evaluated detail using bibliometric packages HistCite,...
ABSTRACT: This study aimed to price croplands in Rio Grande do Sul State (southern Brazil) and point which variables had the most significant impact on prices. The main purpose was achieved using multiple linear regression principal component analysis. used this were planted area, production, price, yield of commodities soybean, wheat, corn. period under analysis from January 1994 December 2017 (biannual observations). Multiple showed that five contributed land pricing, being three related...
Sugar production and exportation are important factors for the Brazilian economy, because Brazil produces largest amount of sugar accounts almost half world´s exports. This research aimed to monitor export from January 2000 April 2019, by means residual control charts with pretreatment autoregressive integrated moving average (ARIMA) models. The data used in study were collected Portal Única website. We opted application ARIMA modeling was not stationarity presented autocorrelated values....