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autoregressive integrated moving average (ARIMA)

ARIMA-M: A New Model for Daily Water Consumption Prediction, Based on the Autoregressive Integrated Moving Average Model and the Markov Chain Error Correction

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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Autoregressive Integrated Moving Average (ARIMA) Model for Exchange Rate (Naira to Dollar)

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 ...

6

COMPARATIVE ANALYSIS OF THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS (ANNs) AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELS ON RAINFALL FORECASTING

COMPARATIVE ANALYSIS OF THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS (ANNs) AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELS ON RAINFALL FORECASTING

... outperformed Autoregressive Integrated Moving Average (ARIMA) technique in cyclical seasonal behavior with a minimum Mean Absolute Percentage Error ...

6

Using autoregressive integrated moving average models in the analysis and forecasting of mobile network traffic data

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 ...

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Comparison between MEMD-LSSVM and MEMD-ARIMA in forecasting exchange rate

Comparison between MEMD-LSSVM and MEMD-ARIMA in forecasting exchange rate

... linear. Autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) are the most frequent techniques ...is ARIMA while for non-linear forecasting model ...

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Time series model for forecasting the number of new admission inpatients

Time series model for forecasting the number of new admission inpatients

... the autoregressive integrated moving average (ARIMA) model is linear in that predictions of the future values are constrained to be linear functions of past obser- ...of ARIMA ...

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Comparison of Stochastic Models in Forecasting Monthly Streamflow in Rivers: A Case Study of River Nile and Its Tributaries

Comparison of Stochastic Models in Forecasting Monthly Streamflow in Rivers: A Case Study of River Nile and Its Tributaries

... the autoregressive integrated moving average (ARIMA) model and its derivatives such as seasonal ARIMA (SARIMA), periodic ARIMA, and deseasonalized ARIMA models, ...

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Forecasting Model of Student Admission in XYZ University with Arima Forecasting Technique

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 ...

13

Time Series Analysis of Production and Price of Cattle and Milkfish in the Philippines

Time Series Analysis of Production and Price of Cattle and Milkfish in the Philippines

... in autoregressive integrated moving average (ARIMA) ...fitted ARIMA model, not the original series, and in such applications the hypothesis actually being tested is that the ...

38

Forecasting International Tourism Demand- An Empirical Case in Taiwan

Forecasting International Tourism Demand- An Empirical Case in Taiwan

... regression, autoregressive integrated moving average (ARIMA) which is a well-known forecasting model dealing with time series, and Grey model which has been widely employed in different ...

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Prediction of Energy Consumption of Turkey on Sectoral Bases by Arima Model

Prediction of Energy Consumption of Turkey on Sectoral Bases by Arima Model

... of autoregressive integrated moving average (ARIMA) models to predict both sectoral and total energy consumption of Turkey for the next 15 ...annual average rate of ...

8

Study & Development of Short Term Load Forecasting Models Using Stochastic Time Series Analysis

Study & Development of Short Term Load Forecasting Models Using Stochastic Time Series Analysis

... as Autoregressive (AR) models, Autoregressive Moving Average (ARMA) models, Autoregressive Integrated Moving Average (ARIMA) models and are ...

6

ARIMA MODELLING OF FOOD INFLATION RATE IN NIGERIA

ARIMA MODELLING OF FOOD INFLATION RATE IN NIGERIA

... use autoregressive integrated moving average (ARIMA) time series models for forecasting Nigeria’s food inflation ...of ARIMA(3,1,3), and the model ARIMA(1,1,2) was ...

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Modelling And Forecasting Small Haplochromine Species (Kambuzi) Production In Malawi - A Stochastic Model Approach

Modelling And Forecasting Small Haplochromine Species (Kambuzi) Production In Malawi - A Stochastic Model Approach

... considered Autoregressive (AR), Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) processes to select the appropriate stochastic model for ...

5

Non-linear water level forecasting of Dungun river using hybridization of backpropagation neural network and genetic algorithm

Non-linear water level forecasting of Dungun river using hybridization of backpropagation neural network and genetic algorithm

... of Autoregressive Integrated Moving Average (ARIMA) or seasonal ARIMA (SARIMA), Backpropagation Neural Network (BPNN), Nonlinear Autoregressive Models with exogenous ...

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A Study Paper on Prediciting Workload with the Help of ARIMA Model

A Study Paper on Prediciting Workload with the Help of ARIMA Model

... the autoregressive integrated moving average (ARIMA) ...the ARIMA model and evaluates its accuracy of future employment prediction victimization real traces of requests to ...

5

The Karkheh River Streamflow Forecast based on the Modelling of Time Series

The Karkheh River Streamflow Forecast based on the Modelling of Time Series

... Autoregressive integrated moving average (ARIMA) models are appropriate for the annual streamflows (annual peak and maximum and also mean discharges) of the Karkheh River at Jelogir ...

9

ARMA Modelling of Benue River Flow Dynamics: Comparative Study of PAR Model

ARMA Modelling of Benue River Flow Dynamics: Comparative Study of PAR Model

... Generally, Autoregressive (AR) and Autoregressive Integrated Moving Average (ARIMA) models have an important place in the stochastic modelling of hydrologic ...using ...

9

A Box-jenkins Model For Monthly Natural Gas Production In Nigeria

A Box-jenkins Model For Monthly Natural Gas Production In Nigeria

... of autoregressive integrated moving average (ARIMA) modeling, of which seasonal autoregressive integrated moving average (SARIMA) modeling is a special ...

5

Forecasting Annual International Tourist Arrivals in Zambia Using Holt Winters Exponential Smoothing

Forecasting Annual International Tourist Arrivals in Zambia Using Holt Winters Exponential Smoothing

... 3.2. Autoregressive Integrated Moving Average Model ARIMA ARIMA models known as Box-Jenkins methodology have been found to be more popular, efficient and reliable even for short ...

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