autoregressive integrated moving average
COMPARATIVE ANALYSIS OF THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS (ANNs) AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELS ON RAINFALL FORECASTING
... There are several methods often useful in time series data analysis and forecasting. Some of the most effective are Artificial Neural Network (ANN), Fuzzy times series model, Autoregressive Integrated ...
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Forecast Comparison of Seasonal Autoregressive Integrated Moving Average (SARIMA) and Self Exciting Threshold Autoregressive (SETAR) Models
... seasonal autoregressive integrated moving average (SARIMA) ...of Autoregressive (AR) and Moving average (MA) ...The autoregressive part takes care of the past ...
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Analysis of the Volatility of the Electricity Price in Kenya Using Autoregressive Integrated Moving Average Model
... using Autoregressive Integrated Moving Average models (ARIMA) were used so as to determine the most efficient and adequate model for analysing the volatility of the electricity cost in ...
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Application of the Improved Generalized Autoregressive Conditional Heteroskedast Model Based on the Autoregressive Integrated Moving Average Model in Data Analysis
... Generalized Autoregressive Conditional He- teroskedast model for the issue that financial product sales data have singular information when applying this model, and the improved outlier detection method was used ...
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Autoregressive Integrated Moving Average (ARIMA) Model for Exchange Rate (Naira to Dollar)
... general autoregressive integrated moving average (ARIMA) model introduction by Box and Jenkins (1976) includes auto-regressive as well as moving average parameters and explicitly ...
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Flood Prediction Using Seasonal Autoregressive Integrated Moving Average (SARIMA) Model
... Abstract: This paper aims to evaluate the performance of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model for the purpose of flood forecasting. Seven datasets are provided ...
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Using autoregressive integrated moving average models in the analysis and forecasting of mobile network traffic data
... of Autoregressive Integrated Moving Average (ARIMA) models by using an empirical data measured from a live High Speed Downlink Packet Access (HSDPA) telecommunication network operator with ...
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A Multiplicative Autoregressive Integrated Moving Average Model for Kenya’s Inflation (2000:1 – 2013:12)
... Seasonal Autoregressive Integrated Moving Average (SARIMA) was employed to analyze monthly inflation rates of Kenya from January 2000 to December ...
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Wavelet Transform and Autoregressive Integrated Moving Average Combination Approach in Crude Oil Prices Forecasting
... Abstract—This paper proposes a time series forecasting approach combining wavelet transform and autoregressive integrated moving average (ARIMA) to enhance the precision in forecasting crude ...
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An Autoregressive Integrated Moving Average Models For Process Output And Forecasting
... month-centred moving average was considered as a way of eliminating the seasonal effect discovered in the ...is autoregressive model of order one and two were fitted for the ...series. ...
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ARIMA-M: A New Model for Daily Water Consumption Prediction, Based on the Autoregressive Integrated Moving Average Model and the Markov Chain Error Correction
... (autoregressive integrated moving average) is a combination of autoregressive and moving average models and the prediction value is determined through the analysis of time ...
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Study & Development of Short Term Load Forecasting Models Using Stochastic Time Series Analysis
... The Autoregressive (AR), Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA) models can be developed using time series ...
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A Study Paper on Prediciting Workload with the Help of ARIMA Model
... ABSTRACT: Presently company mostly prefers Cloud services to store their data. There also competition between the Cloud Service Providers for offering similar services. To survive in such a competitive market, cloud- ...
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Predictive Modeling of Pelagic Fish Catch using Seasonal ARIMA Models
... Box-Jenkins [13] proposed a methodology for modeling and forecasting time series data, wherein the models are the family of autoregressive integrated moving average models, or ARIMA models. ...
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Application of ARIMAX Model to Forecast Weekly Cocoa Black Pod Disease Incidence
... a Autoregressive Integrated Moving Average with external variables (ARIMAX) model which tries to account the effects due to the climatic influencing factors, to forecast the weekly cocoa black ...
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Time Series Analysis of Production and Price of Cattle and Milkfish in the Philippines
... considered Autoregressive (AR), Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) processes to select the appropriate stochastic model for ...
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Forecasting Model of Student Admission in XYZ University with Arima Forecasting Technique
... Forecasting is an important method for effective and efficient planning. Forecasting is a prediction, projection or estimated level of uncertainty in the future. During the last seven years, the number of new student ...
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Predictive Model for Fire Outbreaks: A Case Study in the Ashanti Region, Ghana
... Furthermore, Lang et al., (2008) modelled the currency outside banks in Croatia using regression analysis. They fitted a regression model based on the first difference of the series and a regression model with the ...
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Comparison between MEMD-LSSVM and MEMD-ARIMA in forecasting exchange rate
... and autoregressive integrated moving average (ARIMA) named as MEMD-ARIMA and modified empirical mode decomposition (EMD) and least squares support vector machine (LSSVM) named as MEMD-LSSVM in ...
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Seasonal Interval Time Series Models in Comparative Study of Industrial Forecasting
... seasonal autoregressive integrated moving average (SARIMA) and fuzzy seasonal autoregressive integrated moving average (FSARIMA) take second and third places, ...
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