seasonal ARIMA
Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach
... simple seasonal ARIMA forecasts of Latvia’s Gross Domestic Product (GDP) as well as by comparing a di- rect forecast of Latvia’s GDP versus three kinds of indirect ...
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Predictive modeling of pelagic fish catch in Malaysia using seasonal ARIMA models
... build Seasonal Autoregressive Integrated Moving Average (SARIMA) model for monthly catches of two fish species for a period of five years (2007 – ...The seasonal ARIMA (1, 1, 0)(0, 0, 1) 12 and ...
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A Multiplicative Seasonal ARIMA/GARCH Model in EVN Traffic Prediction
... multiplicative seasonal ARIMA/GARCH model can be simplified as a multiplicative seasonal ARIMA model, by adjusting the para- meter of the GARCH part, ...multiplicative seasonal ...
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Statistical modeling of Tamil nadu annual rainfall
... with seasonal variability is difficult, thus we have considered the annual rainfall to analyze any change in the climatic trend of Tamil Nadu and forecast the rainfall for the year ...series seasonal ...
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Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks
... traditional ARIMA model in capturing nonlinear relationships in the ...the seasonal ARIMA model at ...candidate seasonal ARIMA ...
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Time series modelling for forecasting vehicular traffic flow in Dublin
... of the data is performed. From the comparison it is seen that the Holt Winters’ trend and seasonal smoothing technique is the best model for this junction. However, the seasonal ARIMA model is also ...
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Statistical Modelling of Maximum and Minimum Temperature in Thiruvananthapuram District
... quadratic ARIMA model and linear ARIMA model had the best overall performance in making short-term forecasts of yearly total temperature in ...the ARIMA method to predict the temperature and rainfall ...
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Seasonal ARIMA Modeling and Forecasting of Rainfall in Warri Town, Nigeria
... suitable Seasonal ARIMA model, the next stage is the parameters estimation of the identi- fied model and this is done through an exact maximum likelihood estimate due to ...
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Short Term Forecasting of Inflation in Bangladesh with Seasonal ARIMA Processes
... approach, Seasonal Autoregressive Integrated Moving Average (SARIMA) was employed for forecasting monthly inflation rate of Bangladesh for the coming months of January, 2013 to December ...models ...
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Comparison of Stochastic Models in Forecasting Monthly Streamflow in Rivers: A Case Study of River Nile and Its Tributaries
... as seasonal ARIMA (SARIMA), periodic ARIMA, and deseasonalized ARIMA models, have long been applied in streamflow forecasting, particularly in the mod- eling of monthly streamflow [4] ...using ...
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Short Term Forecasting of Bicycle Traffic Using Structural Time Series Models
... a seasonal ARIMA model [12] to model cyclist volume observations at the same location ...over ARIMA models which justify the increased computational ...Any ARIMA model may be represented in ...
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Cell based short term traffic flow forecasting using time series modelling
... their seasonal counterparts, S denotes the ...for ARIMA modelling using Box and Jenkins [Box and Jenkins, 1970] ...few seasonal ARIMA models are ...
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Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models
... data, ARIMA models have been extended and modified among which seasonal ARIMA (SARIMA) and multiplicative seasonal ARIMA (MSARIMA) models are the most widely used [3, 7, ...proposed ...
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Adaptive ARIMA Model based on Lazy Learning Algorithm for Short Period Electric Load Forecasting
... adaptive ARIMA is based on RLS-forgetting factor algorithm, as one of the Kalman filters family, which is used to increase the weight of more recent train ...Adaptive ARIMA of RLS-forgetting factor update ...
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ACE, ARIMA
... During the past decades the natural gas business has taken a truly global dimension. It calls for reasonable forecast of its price to mitigate price risk. Several methodologies have been proposed to forecast natural gas ...
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A Comparison Between Direct and Indirect Seasonal Adjustment of the Chilean GDP 1986 2009 with X 12 ARIMA
... In this subsection, I analyze the estimates of diagnostics checks for all six aggregations. Notice that, as aggregation 6 acts as a natural benchmark, deviations from seasonally adjusted series of that aggregation are ...
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Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model
... apply ARIMA model to fit the HFRS incidence in China with as many as 34 observations at year ...used ARIMA model to fit and forecast HFRS incidence of some regions, but they had the same problem that the ...
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Forecasting by (Arima) models Toinflation rate in Sudan
... Inflation is an economic phenomenon that have attracted the attention of many economists and researchers. There is a wide variety of opinions among researchers on the causes of inflation and how it could be reduced. In ...
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Modeling and forecasting carbon dioxide emissions in China using Autoregressive Integrated Moving Average (ARIMA) models
... 5.3361 ARIMA (1, 2, 0) 1414.292 0.86744 4490.7 95662 145180 5.4445 ARIMA (0, 2, 1) ...5.4436 ARIMA (1, 2, 2) 1414.976 0.89854 25583 96034 140310 5.509 ARIMA (1, 2, 3) ...5.5053 ARIMA ...
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Modeling and forecasting Botswana's Growth Domestic Product (GDP) per capita
... 9.6045 ARIMA (2, 1, 1) 839.8412 0.94968 125.54 222.42 355.6 7.3849 ARIMA (3, 1, 1) ...9.3593 ARIMA (4, 1, 1) 838.1568 0.88295 95.013 213.4 336.71 9.4365 ARIMA (4, 1, 0) ...9.4365 ARIMA ...
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