In this work the several exponential smoothing type methods are briefly described, which are often used to smoothing and forecasting in the time series. Selected problems, that occur in described methods, are presented and in some cases there are the suggestions to their solution, which should tend to more suitable smoothing or to the better forecasts. It's shown how the methods are applied on different data and how the forecasts differ from each other. In conclusion the quality of modifications is evaluated
Forecasting using time series (TS) models are often based on linear regression or methods using vari...
Abstract. Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent...
The formulation of exponential smoothing forecasting methods arose in the 1950’s from the original w...
In this work the several exponential smoothing type methods are briefly described, which are often u...
summary:The paper deals with extensions of exponential smoothing type methods for univariate time se...
In this paper several heuristics are proposed for calculating the smoothing parameter in exponential...
The Holt's linear exponential smoothing method has been frequently used to forecast a time series th...
The focus of this paper is on the relationship between the exponential smoothing methods of forecast...
It is established in this paper that exponential smoothing, in its most general linear form, is an o...
This paper examines exponential smoothing constants that minimize summary error measures associated ...
A parsimonious method of exponential smoothing is introduced for time series generated from a combin...
The multivariate exponential smoothing model of Enns, Machak, Spivey and Wrobleski is examined and i...
This work deals with extensions of classical exponential smoothing type methods for univariate time ...
An approach to exponential smoothing that relies on a linear single source of error state space mode...
Forecasting is attempting to predict the future. It is an estimate of what the future demands. There...
Forecasting using time series (TS) models are often based on linear regression or methods using vari...
Abstract. Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent...
The formulation of exponential smoothing forecasting methods arose in the 1950’s from the original w...
In this work the several exponential smoothing type methods are briefly described, which are often u...
summary:The paper deals with extensions of exponential smoothing type methods for univariate time se...
In this paper several heuristics are proposed for calculating the smoothing parameter in exponential...
The Holt's linear exponential smoothing method has been frequently used to forecast a time series th...
The focus of this paper is on the relationship between the exponential smoothing methods of forecast...
It is established in this paper that exponential smoothing, in its most general linear form, is an o...
This paper examines exponential smoothing constants that minimize summary error measures associated ...
A parsimonious method of exponential smoothing is introduced for time series generated from a combin...
The multivariate exponential smoothing model of Enns, Machak, Spivey and Wrobleski is examined and i...
This work deals with extensions of classical exponential smoothing type methods for univariate time ...
An approach to exponential smoothing that relies on a linear single source of error state space mode...
Forecasting is attempting to predict the future. It is an estimate of what the future demands. There...
Forecasting using time series (TS) models are often based on linear regression or methods using vari...
Abstract. Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent...
The formulation of exponential smoothing forecasting methods arose in the 1950’s from the original w...