When choosing smoothing parameters in exponential smoothing, the choice can be made by either minimizing the sum of squared one-step-ahead forecast errors or minimizing the sum of the absolute onestep- ahead forecast errors. In this article, the resulting forecast accuracy is used to compare these two options
Forecasters have been using various criteria to select the most appropriate model from a pool of can...
Exponential smoothing procedures, in particular those recommended by Brown are used extensively in m...
Forecasting is attempting to predict the future. It is an estimate of what the future demands. There...
A key issue in exponential smoothing is the choice of the values of the smoothing constants used.One...
This paper examines exponential smoothing constants that minimize summary error measures associated ...
A key issue in exponential smoothing is the choice of the values of the smoothing constants used. On...
Applications of exponential smoothing to forecast time series usually rely on three basic methods: s...
A key issue in exponential smoothing is the choice of the values of the smoothing constants used. O...
Every business seeks to correctly anticipate how much of which products it must manufacture, and whe...
Commodity prices forecasting is one of the business functions to estimate future demand based on pas...
In this work the several exponential smoothing type methods are briefly described, which are often u...
In this work the several exponential smoothing type methods are briefly described, which are often u...
In the exponential smoothing approach to forecasting, restrictions are often imposed on the smoothin...
Sales forecasting affects almost every area of activity in industry. The importance of a sales forec...
Exponential smoothing has always been a popular topic of research in forecasting. The triple exponen...
Forecasters have been using various criteria to select the most appropriate model from a pool of can...
Exponential smoothing procedures, in particular those recommended by Brown are used extensively in m...
Forecasting is attempting to predict the future. It is an estimate of what the future demands. There...
A key issue in exponential smoothing is the choice of the values of the smoothing constants used.One...
This paper examines exponential smoothing constants that minimize summary error measures associated ...
A key issue in exponential smoothing is the choice of the values of the smoothing constants used. On...
Applications of exponential smoothing to forecast time series usually rely on three basic methods: s...
A key issue in exponential smoothing is the choice of the values of the smoothing constants used. O...
Every business seeks to correctly anticipate how much of which products it must manufacture, and whe...
Commodity prices forecasting is one of the business functions to estimate future demand based on pas...
In this work the several exponential smoothing type methods are briefly described, which are often u...
In this work the several exponential smoothing type methods are briefly described, which are often u...
In the exponential smoothing approach to forecasting, restrictions are often imposed on the smoothin...
Sales forecasting affects almost every area of activity in industry. The importance of a sales forec...
Exponential smoothing has always been a popular topic of research in forecasting. The triple exponen...
Forecasters have been using various criteria to select the most appropriate model from a pool of can...
Exponential smoothing procedures, in particular those recommended by Brown are used extensively in m...
Forecasting is attempting to predict the future. It is an estimate of what the future demands. There...