Abstract. The Box-Jenkins “airline ” model is the most widely used ARIMA model for seasonal time series. Findley, Martin and Wills (2002) examined a generalization of the airline model with a more restricted seasonal moving average factor that models only seasonal effects and with a second-order nonseasonal moving average factor. Here, we generalize the seasonal factor further by associating a subset of the frequencies 1, 2, 3, 4, 5 and 6 cycles per year (in the case of monthly data) with one coefficient and the complementary subset with a second coefficient. A generalization of Akaike’s Minimum AIC criterion is presented for choosing among subsets of a given size or, more generally, among generalizations of the airline model having the sam...
The basic structural time series model has been designed for the modelling and forecasting of season...
Using the twenty four two-parameter families of advanced time series forecasting functions along wit...
Bell (2012) catalogued unit root factors contained in linear filters used in seasonal adjustment (mo...
textabstractIn this paper a model selection test procedure for seasonal time series is proposed. It ...
The popular 'airline' model for a seasonal time series assumes that a variable needsdouble differenc...
The basic structural time series model has been designed for the modelling and forecasting of season...
One of the most powerful and widely used methodologies for forecasting economic time series is the c...
Within the multiplicative seasonal ARIMA modeling context, there are two forecasting models, ARIMA14...
In their seminal book Time Series Analysis: Forecasting and Control, Box and Jenkins (1976) introduc...
textabstractA recurring issue in modeling seasonal time series variables is the choice of the most a...
Within the multiplicative seasonal ARIMA modeling context, there are two forecasting models, RIMA14 ...
summary: the box-jenkins-method for estimating and forecasting times series models relies heavily on...
We present a method for investigating the evolution of trend and seasonality in an observed time ser...
Periodic models for seasonal data allow the parameters of the model to vary across the different sea...
The basic structural time series model has been designed for the modelling and forecasting of season...
The basic structural time series model has been designed for the modelling and forecasting of season...
Using the twenty four two-parameter families of advanced time series forecasting functions along wit...
Bell (2012) catalogued unit root factors contained in linear filters used in seasonal adjustment (mo...
textabstractIn this paper a model selection test procedure for seasonal time series is proposed. It ...
The popular 'airline' model for a seasonal time series assumes that a variable needsdouble differenc...
The basic structural time series model has been designed for the modelling and forecasting of season...
One of the most powerful and widely used methodologies for forecasting economic time series is the c...
Within the multiplicative seasonal ARIMA modeling context, there are two forecasting models, ARIMA14...
In their seminal book Time Series Analysis: Forecasting and Control, Box and Jenkins (1976) introduc...
textabstractA recurring issue in modeling seasonal time series variables is the choice of the most a...
Within the multiplicative seasonal ARIMA modeling context, there are two forecasting models, RIMA14 ...
summary: the box-jenkins-method for estimating and forecasting times series models relies heavily on...
We present a method for investigating the evolution of trend and seasonality in an observed time ser...
Periodic models for seasonal data allow the parameters of the model to vary across the different sea...
The basic structural time series model has been designed for the modelling and forecasting of season...
The basic structural time series model has been designed for the modelling and forecasting of season...
Using the twenty four two-parameter families of advanced time series forecasting functions along wit...
Bell (2012) catalogued unit root factors contained in linear filters used in seasonal adjustment (mo...