Time Series Forecasting
Mostrando 1-12 de 115 artigos, teses e dissertações.
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1. Influence of air pollutants on pneumonia hospitalizations among children in a town in the Brazilian Legal Amazon region: a time series study
ABSTRACT BACKGROUND: Exposure to particulate material produced as a result of increased agricultural activity may increase the number of pneumonia hospitalizations among children. We hope to contribute to the knowledge base through highlighting the environmental mechanisms involved in this outcome and optimizing pollutant control policies. OBJECTIVES: To
Sao Paulo Med. J.. Publicado em: 2020-03
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2. Apresentação
ABSTRACT BACKGROUND: Exposure to particulate material produced as a result of increased agricultural activity may increase the number of pneumonia hospitalizations among children. We hope to contribute to the knowledge base through highlighting the environmental mechanisms involved in this outcome and optimizing pollutant control policies. OBJECTIVES: To
Trans/Form/Ação. Publicado em: 2020-03
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3. HIV-1 mother-to-child transmission in Brazil (1994-2016): a time series modeling
Abstract HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at modeling HIV-1 MTCT prevalence in Brazil through the y
Braz J Infect Dis. Publicado em: 24/10/2019
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4. APPLYING SINGULAR SPECTRUM ANALYSIS AND ARIMA-GARCH FOR FORECASTING EUR/USD EXCHANGE RATE
RESUMO Objetivo: O objetivo deste artigo foi modelar a série de minuto das taxas de câmbio do par EUR/USD por meio dos métodos singular spectrum analysis (SSA) e ARIMA-GARCH, e avaliar qual gera previsões melhores para um horizonte de cinco minutos. Originalidade/valor: Apesar de o SSA se mostrar uma técnica bem-sucedida em outros ramos da ciência, s
RAM, Rev. Adm. Mackenzie. Publicado em: 12/08/2019
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5. The use of intervention analysis of the mortality rates from breast cancer in assessing the Brazilian screening programme
Abstract Introduction There is a need to develop methods to evaluate public health interventions. Therefore, this work proposed an intervention analysis on time series of breast cancer mortality rates to assess the effects of an action of the Brazilian Screening Programme. Methods The analysed series was the monthly female breast cancer mortality rates f
Res. Biomed. Eng.. Publicado em: 08/11/2018
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6. ANALYSIS OF THE PHENOLOGY DYNAMICS OF BRAZILIAN CAATINGA SPECIES WITH NDVI TIME SERIES
ABSTRACT In Brazil there are six well-defined biomes and the Caatinga represents 9.92% of the total area. This biome is exclusively Brazilian and very rich in biodiversity. Because it has low resistance to human interference is necessary to know the important factors in monitoring the biome. Vegetation coverage and climate are two of these factors, as they i
CERNE. Publicado em: 2018-03
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7. REFERENCE EVAPOTRANSPIRATION FORECASTING BY ARTIFICIAL NEURAL NETWORKS
ABSTRACT: Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via Artificial Neural Networks (ANNs) for the northern region of São Paulo state, Brazil. Therefore, this aimed to predict the reference
Eng. Agríc.. Publicado em: 2017-12
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8. Corwin-Schultz Bid-ask Spread Estimator in the Brazilian Stock Market
This paper tests the validity of the Corwin-Schultz bid-ask spread estimator in the Brazilian stock market. The Corwin-Schultz estimator arises as an easy way to compute asymmetric information throughout daily high and low stock prices for estimating overnight and non-negative adjusted spreads. The sample consisted of Ibovespa firms from 1986 to 2014 and was
BAR, Braz. Adm. Rev.. Publicado em: 2016-03
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9. ARTIFICIAL NEURAL NETWORK AND WAVELET DECOMPOSITION IN THE FORECAST OF GLOBAL HORIZONTAL SOLAR RADIATION
This paper proposes a method (denoted by WD-ANN) that combines the Artificial Neural Networks (ANN) and the Wavelet Decomposition (WD) to generate short-term global horizontal solar radiation forecasting, which is an essential information for evaluating the electrical power generated from the conversion of solar energy into electrical energy. The WD-ANN meth
Pesqui. Oper.. Publicado em: 2015-04
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10. Using Common Features to Understand the Behavior of Metal-Commodity Prices and Forecast them at Different Horizons
The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual horizons. The data to be used consists of metal-commodity prices in a monthly frequency from 1957 to 2012 from the International Financial Statistics of the IMF on individual metal series. We will also employ the (relative
Escola de Pós-Graduação em Economia da FGV. Publicado em: 03/01/2013
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11. Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks
This study evaluates the application of an intelligent hybrid system for time-series forecasting of atmospheric pollutant concentration levels. The proposed method consists of an artificial neural network combined with a particle swarm optimization algorithm. The method not only searches relevant time lags for the correct characterization of the time series,
Quím. Nova. Publicado em: 2013
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12. Uma avaliação de métodos de previsão aplicados à grandes quantidades de séries temporais univariadas
A previsão de séries temporais é provavelmente um dos interesses mais primordiais na área de economia e econometria, e a literatura referente a este assunto é extremamente vasta. Devido ao crescimento tecnológico nas últimas décadas, diariamente são geradas e disponibilizadas grandes quantidades de séries temporais; que em um primeiro momento, requ
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 06/12/2012