At present, both at European Union and world level, experts are preoccupied to find the best method for the deseasonalisation of a time series that should assure the comparability of statistical data. The present paper follows the line of these researches. In the study, we undertake a comparison...

This study seeks to investigate and highlight the usefulness of the Artificial Neural Networks (ANN) methodology as an alternative to the Box-Jenkins methodology in analysing tourism demand. To this end, each of the above-mentioned methodologies is centred on the treatment, analysis and...

The aim of the paper is to analyze the current situation and perspectives, both at the short run andmiddle run, of theMexican exportationmaquiladora industry. It is to combine quantitative economic conjuncture analysis with its principal components, that is, the empiric base (statistical...

Hourly and daily measurements of total and diffuse solar radiation and sunshine duration are analyzed. Three-year measurements of the available meteorological data in Mosul (latitude 36° 19′ N, longitude 43° 09′ E and 223 m above mean sea level) are used in this study. The present work...

Forecasting price spikes is a timely issue for the deregulated electricity market. Traditional price forecasting techniques show poor performance in handling price spikes, which usually follow a pattern different from the prices under normal market conditions. Therefore, novel approaches are...

Maravall and del Río (2001), analized the time aggregation properties of the Hodrick-Prescott (HP) filter, which decomposes a time series into trend and cycle, for the case of annual, quarterly, and monthly data, and showed that aggregation of the disaggregate component cannot be obtained as...