exponential smoothing model
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... series model used include Harvey model, Autoregressive model, Moving Average model and Exponential Smoothing ...Harvey model has a better prediction accuracy when compared ...
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Efficiency and volatility on the Istanbul Stock Exchange
... We have used five volatility forecasting systems GARCH model, -a an optimised exponential smoothing model SES, a non-optimised "RiskMetrics" smoothing model RM, a long term historic vola[r] ...
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Time series modelling for forecasting vehicular traffic flow in Dublin
... With the advent of Intelligent Transportation System (ITS), short-term forecasting and simulation of traffic flow are becoming important. Optimisation of the operational parameters related to traffic management in a ...
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Exponential Growth Model for Forecasting of Area and Production of Potato Crop in Pakistan
... trend model, Quadratic trend model, Exponential growth model, S-curve trend model and double exponential smoothing model were used to find the best fitted ...
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Forecasting international bandwidth capacity using linear and ANN methods
... ANN model is selected as a nonlinear alternative as it is flexible enough to model complex linear or nonlinear relationships without any prior assumptions about the data generating ...simple ...
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DOUBLE EXPONENTIAL FORECASTING MODEL FOR DATES PRODUCTION IN PAKISTAN
... forecasting model will help the policy makers for taking their future decisions to improve date area and ...trend model, quadratic trend model, exponential growth model, moving average ...
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Exponential Smoothing Models for Prediction of Solar Irradiance
... double exponential smoothing model fits the data better than the single exponential smoothing ...double exponential models largely deviate from the actual value of the ...double ...
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Trend Analysis and Forecasting of Maize Area and Production in Khyber Pakhtunkhwa, Pakistan
... trend model, Quadratic trend model, Exponential growth model, Moving Average Model and Double exponential smoothing model were used to find the best fitted ...
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Modeling the Cases of Road Traffic Crashes: A Case of Exponential Smoothing Approach
... adopt exponential smoothing model to study the accident phenomenon and come up with a reliable forecast into the future of accident cases along the major roads connecting to the city of Enugu state, ...
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Forecasting Annual International Tourist Arrivals in Zambia Using Holt Winters Exponential Smoothing
... Double Exponential Smoothing and the Auto-Regressive Integrated Moving Average ...best model. Their results showed that the Double Exponential Smoothing model was the best to ...
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Prediction of Hits in E commerce based on Exponential Smoothing Technique
... forecast model. Choose First Exponential Smoothing model when data changes more smoothly; Choose Second Exponential Smoothing model when data change to be linear; Choose ...
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The Implementation Of Exponential Smoothing Technique In Forecasting Demands For SMI
... Kajian ini telah berjaya membangunkan satu perisian ramalan untuk IKS. Perisian ini terbahagi kepada dua bahagian; database dan perisian ramalan. Perisian ramalan dibangunkan berasaskan teknik Exponential ...
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Exponential Smoothing, Long Memory and Volatility Prediction
... Exponential smoothing (ES) is a very popular and successful forecasting scheme among prac- titioners, as well as a filter for extracting the long run component or underlying level of a time series; it has ...
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Temporal changes of CD4 Count of HIV infected children using curve fitting models
... Over a period of time Mean HAART duration was 572.810±23.08 days with CI 95% 527.562-618.058 and median was 547.000±45.965 days with CI 95%456.909-637.091 days. The KPM –model was clearly showed that ,reduced ...
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Forecasting telecommunications data with linear models
... Note: RT is the robust trend model; ARIMA is the autoregressive integrated moving average model; HOLT is Holt’s linear no trend model; Holt-D is Holt’s model with exponential smoothing; [r] ...
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Exponential smoothing methods in pension funding
... Dufresne (1988) and Owadally and Haberman (1999) consider only pure market values of assets (λ = 0) but show that spreading or amortizing gains and losses over longer periods lead to more variable fund levels. This is ...
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Statistical modelling of agrometeorological time series by exponential smoothing
... priate model which describes the inherent structure of the ...the exponential smoothing. The idea of exponential smoothing is to smooth the noise out of the original series and to use ...
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Forecasting international regional tourist arrivals to China
... ARIMA model is more accurate in the case of total guest arrival data, and Basic Structural model (BSM) is more accurate in the case of total international ...
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Energy Management through Cost Forecasting for
... Time series forecasting techniques such as exponential smoothing models and the ARIMA.. 76.[r] ...
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Market size growth survival in multi-generation technology environment: A predictive review of the Indian air-conditioner and refrigerator industry
... Reliability forms an important property not only for systems but also for social phenomenon. Its quantification has gained prime focus owing to its ability to identify potential threats and estimate risks. Immense ...
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