GitHub

exponential-smoothing-models

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple ...
GitHub

exponential-smoothing-models

Building Time Series Exponential Smoothing models to forecast temperature and ARIMA model to forecast weekly sales for a retail store.
Simon Fraser University

Equations for the Smoothing Models

The ARIMA model equivalency to the additive version of Winters method is the ARIMA(0,1,p+1)(0,1,0) p model The moving-average form of the equation is For the additive version of Winters method (see ...
Scientific Research Publishing

Comparative Performance of Exponential Smoothing Approach in Forecasting RON 97 Fuel Price in Malaysia ()

1 Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Petroliam Nasional Berhad (PETRONAS), Kuala Lumpur, Malaysia. Forecasting ...
IEEE

Traffic flow prediction based on hybrid model using double exponential smoothing and support vector machine

Abstract: This study develops a hybrid model that combines double exponential smoothing (DES) and support vector machine (SVM) to implement a traffic flow predictor. In the hybrid model, DES is used ...
IEEE

Using Of Multivariate Linear Regression and Exponential Smoothing Model to Predict the Gross Domestic Product in Jordan

Abstract: The advancement of technology has made it increasingly important to analyze essential economic indicators for each nation. These indicators serve as crucial tools for identifying economic ...
Simon Fraser University

Forecasting Methods

In the STEPAR method, PROC FORECAST first fits a time trend model to the series and takes the difference between each value and the estimated trend. (This process is called detrending.) Then, the ...