The Holt's linear exponential smoothing method has been frequently used to forecast a time series that has a trend. In this paper, we investigate the forecasting accuracy of this method. We give theoretical results on the asymptotic prediction errors for some stochastic processes. Using real-life time series data, we show short-range forecasting performances of this method. Problems related to the range of the smoothing parameters are also discussed
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
The focus of this paper is on the relationship between the exponential smoothing methods of forecast...
Simple methods like exponential smoothing are very popular for forecasting univariate time series. T...
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...
Exponential smoothing models are simple, accurate and robust forecasting models and because of these...
Abstract: Robust versions of the exponential and Holt-Winters smoothing method for forecasting are p...
Robust versions of the exponential and Holt-Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt-Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. ...
Exponential smoothing methods are one of the classical time series forecasting methods. It is well k...
Simple forecasting methods, such as exponential smoothing, are very popular in business analytics. T...
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
The focus of this paper is on the relationship between the exponential smoothing methods of forecast...
Simple methods like exponential smoothing are very popular for forecasting univariate time series. T...
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...
Exponential smoothing models are simple, accurate and robust forecasting models and because of these...
Abstract: Robust versions of the exponential and Holt-Winters smoothing method for forecasting are p...
Robust versions of the exponential and Holt-Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt-Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. ...
Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. ...
Exponential smoothing methods are one of the classical time series forecasting methods. It is well k...
Simple forecasting methods, such as exponential smoothing, are very popular in business analytics. T...
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
The focus of this paper is on the relationship between the exponential smoothing methods of forecast...
Simple methods like exponential smoothing are very popular for forecasting univariate time series. T...