textabstractA recurring issue in modeling seasonal time series variables is the choice of the most adequate model for the seasonal movements. One selection method for quarterly data is proposed in Hylleberg et al. (1990). Market response models are often constructed for bimonthly variables, and hence the topic of the present paper is an extension of their method to such time series
We present a method for investigating the evolution of trend and seasonality in an observed time ser...
The basic structural time series model has been designed for the modelling and forecasting of season...
The intention of this paper is to define and estimate several classes of models of seasonal behavior...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
textabstractIn this paper we review recent developments in econometric modelling of economic time se...
This article proposes an alternative methodology for modeling and forecasting seasonal series. The a...
textabstractWe analyze periodic and seasonal cointegration models for bivariate quarterly observed t...
textabstractThis book considers periodic time series models for seasonal data, characterized by para...
This study introduces a new class of time series models capturing dynamic seasonality. Unlike tradit...
In this paper the focus is on two forecasting models for a monthly time series. The first model requ...
textabstractWe focus on two forecasting models for a monthly time series. The first model requires t...
summary:The paper suggests a generalization of widely used Holt-Winters smoothing and forecasting me...
We present a method for investigating the evolution of trend and seasonality in an observed time ser...
textabstractScanner data for fast moving consumer goods typically amount to panels of time series wh...
The traditional literature on seasonality has mainly focused attention on various statistical proced...
We present a method for investigating the evolution of trend and seasonality in an observed time ser...
The basic structural time series model has been designed for the modelling and forecasting of season...
The intention of this paper is to define and estimate several classes of models of seasonal behavior...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
textabstractIn this paper we review recent developments in econometric modelling of economic time se...
This article proposes an alternative methodology for modeling and forecasting seasonal series. The a...
textabstractWe analyze periodic and seasonal cointegration models for bivariate quarterly observed t...
textabstractThis book considers periodic time series models for seasonal data, characterized by para...
This study introduces a new class of time series models capturing dynamic seasonality. Unlike tradit...
In this paper the focus is on two forecasting models for a monthly time series. The first model requ...
textabstractWe focus on two forecasting models for a monthly time series. The first model requires t...
summary:The paper suggests a generalization of widely used Holt-Winters smoothing and forecasting me...
We present a method for investigating the evolution of trend and seasonality in an observed time ser...
textabstractScanner data for fast moving consumer goods typically amount to panels of time series wh...
The traditional literature on seasonality has mainly focused attention on various statistical proced...
We present a method for investigating the evolution of trend and seasonality in an observed time ser...
The basic structural time series model has been designed for the modelling and forecasting of season...
The intention of this paper is to define and estimate several classes of models of seasonal behavior...