In this paper several heuristics are proposed for calculating the smoothing parameter in exponential smoothing when forecasts of many 'closely' related series are required on a regular basis. The methods are evaluated using both synthetic and real data. They not only compare favourably against several other known forecasting techniques but they are also simple and computationally efficient
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
Forecasting using time series (TS) models are often based on linear regression or methods using vari...
This paper examines exponential smoothing constants that minimize summary error measures associated ...
In this work the several exponential smoothing type methods are briefly described, which are often u...
The multivariate exponential smoothing model of Enns, Machak, Spivey and Wrobleski is examined and i...
summary:The paper deals with extensions of exponential smoothing type methods for univariate time se...
Economic forecasting techniques are being successfully applied to problems of inventory and producti...
It is established in this paper that exponential smoothing, in its most general linear form, is an o...
The focus of this paper is on the relationship between the exponential smoothing methods of forecast...
In practice many data series contain observations at irregular times whereas most forecasting method...
Exponential smoothing has been one of the most popular forecasting methods used to support various d...
Exponential smoothing has always been a popular topic of research in forecasting. The triple exponen...
Simple methods like exponential smoothing are very popular for forecasting univariate time series. T...
Exponential smoothing is widely used forecasting method first suggested by C. C. Holt in the late 19...
Simple exponential smoothing is widely used in forecasting economic time series. This is because it ...
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
Forecasting using time series (TS) models are often based on linear regression or methods using vari...
This paper examines exponential smoothing constants that minimize summary error measures associated ...
In this work the several exponential smoothing type methods are briefly described, which are often u...
The multivariate exponential smoothing model of Enns, Machak, Spivey and Wrobleski is examined and i...
summary:The paper deals with extensions of exponential smoothing type methods for univariate time se...
Economic forecasting techniques are being successfully applied to problems of inventory and producti...
It is established in this paper that exponential smoothing, in its most general linear form, is an o...
The focus of this paper is on the relationship between the exponential smoothing methods of forecast...
In practice many data series contain observations at irregular times whereas most forecasting method...
Exponential smoothing has been one of the most popular forecasting methods used to support various d...
Exponential smoothing has always been a popular topic of research in forecasting. The triple exponen...
Simple methods like exponential smoothing are very popular for forecasting univariate time series. T...
Exponential smoothing is widely used forecasting method first suggested by C. C. Holt in the late 19...
Simple exponential smoothing is widely used in forecasting economic time series. This is because it ...
Multiplicative trend exponential smoothing has received very little attention in the literature. It ...
Forecasting using time series (TS) models are often based on linear regression or methods using vari...
This paper examines exponential smoothing constants that minimize summary error measures associated ...
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