Arima Model
An improved ARIMA model for precipitation simulations
... (ARIMA) model, one of the most commonly used time series model, is to remove the trend term of series by difference elimination, so that a nonstationary series can be transformed into a sta- tionary ...
10
Prediction of Civil Aviation Passenger Transportation Based on ARIMA Model
... factor model focuses on its internal ...the ARIMA model (i.e., autoregressive moving average model) not only considers the economic phenomena in time series dependence, but also considers the ...
12
Predicting disaggregated tourist arrivals in Sierra Leone using ARIMA model
... the ARIMA models with attention focused on Box- Jenkins Approach - in this, she found out that ARIMA model is the most appropriate for classifications of time series data sets on the basis of their ...
22
A Hybrid Neural Network and ARIMA Model for Energy Consumption Forecasting
... of model identification is that if a time series is generated from an ARIMA process, it should have some theoretical autocorrelation ...ARMA model used for ...an ARIMA model can be ...
7
A Wavelet-ARIMA Model for Drought Forecasting using SPI Data
... TTo ease the comparison between ARIMA and Wavelet–ARIMA model, four SPI drought data series are used for forecasting. Drought forecasting all over world is a subject which has been carried out by ...
8
Prediction of Stock prices in Oil Sectors using ARIMA Model
... The model used in the study is the ARMA. To test for the stationary of data we used time series plot, (ACF) unit root test. After the stationary of the time series was attained, ACF and PACF of the stationary ...
5
Predicting disaggregated tourist arrivals in Sierra Leone using ARIMA model
... Kelikume and Salami (2014) carried out independent investigation of inflation rate in Nigeria using VAR and ARIMA. They made use of CPI data obtained from the National Bureau of Statistics and the Central Bank ...
23
Prediction of Energy Consumption of Turkey on Sectoral Bases by Arima Model
... in ARIMA forecasting, first ADF (Augmented Dickey-Fuller) unit root test is realized with and without a time trend ...univariate ARIMA model, meaning that process I of the ARIMA models are ...
8
Using Arima Model to Forecast Sales of an Automobile Company
... In this paper, the problem statement of predicting the sales for an automobile company is considered. It is of interest to note here that, predictions for the next half of the year can be effectively obtained from just ...
6
ARIMA MODEL BUILDING AND FORECASTING ON IMPORTS AND EXPORTS OF PAKISTAN
... Exponential smoothing methods are useful for making forecasts, and make no assumptions about the correlations between successive values of the time series. However, if we want to make prediction intervals for forecasts ...
12
Time series analysis of vegetable production and forecasting using arima model
... the model and to forecast the various agricultural crops using ARIMA (p d q) ...The model was used to forecast the sugarcane yield in Pakistan (Yaseen et ...using ARIMA model in the ...
5
A Comparative Study on FFNN and ARIMA Model in the Presence of Outliers
... Time Series analysis Autoregressive Integrated Moving Average (ARIMA) model was developed by Box and Jenkins (1976). It consists of three parts auto regression AR(p), moving averages MA(q) and differencing ...
7
Arima model time-series forecasting for structural monitoring using RTK-GPS
... the model to be ...appropriate model. Each ARIMA model has a unique set of acf and pacf relations so to select an adequate model; Table 1 is the summary of acf and pacf patterns for ...
11
Traffic Flow Trend Forecast of Public Bicycle Network Based on ARIMA Model
... (AR) model, moving average (MA) model, autoregressive synthetic moving average (ARIMA) model ...The ARIMA (Autoregr essive Integrated Moving Average), also known as Box-Jenkins ...
5
Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model
... The annual data used in this study did not show sea- sonal pattern, so the series was differenced at the non- seasonal level to induce stationarity. Autocorrelation function (ACF) graph and Partial autocorrelation func- ...
7
AN APPROACH OF TRAFFIC FLOW PREDICTION USING ARIMA MODEL WITH FUZZY WAVELET TRANSFORM
... method ARIMA model and the SVM model to predict short- term traffic flow ...DWT, ARIMA, and ANN to improve the forecasting accuracy is mentioned in ...
78
Autoregressive Integrated Moving Average (ARIMA) Model for Exchange Rate (Naira to Dollar)
... (ARIMA) model introduction by Box and Jenkins (1976) includes auto-regressive as well as moving average parameters and explicitly includes differencing in the formulation of the ...the model are: The ...
6
Predicting raga notes through an ARIMA model: A Case Study in raga Bhupali
... A great deal of attention has been paid in the recent past in modeling musical structure and performance [BM99]. Musical data will always be the function of time and the stochastic processes such as the time series ...
12
A Seasonal Arima Model for Daily Nigerian Naira-Us Dollar Exchange Rates
... the unit circle for stationarity or invertibility respectively. Equation (5) represents the autoregressive operator whereas (6) represents the moving average operator. Existence of a seasonal nature is often evident from ...
9
A comparison study between time series model and ARIMA model for sales forecasting of distributor in plastic industry
... the ARIMA model, the model is called as the Seasonal ARIMA or ...The ARIMA forecasting gives the results in different options which are upper limits, lower limits, and forecasted ...
7