Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Eighty-four post-1990 empirical studies of international tourism demand modeling and
forecasting using econometric approaches are reviewed. New developments are identified …

This new edition of this classic title, now in its seventh edition, presents a balanced and
comprehensive introduction to the theory, implementation, and practice of time series …

An innovations state space modeling framework is introduced for forecasting complex
seasonal time series such as those with multiple seasonal periods, high-frequency …

We review the past 25 years of research into time series forecasting. In this silver jubilee
issue, we naturally highlight results published in journals managed by the International …

Neural networks have been widely used as a promising method for time series forecasting.
However, limited empirical studies on seasonal time series forecasting with neural networks …

This investigation explores the interrelation between US factionalism and carbon emissions
and further studies whether factionalism impedes US carbon neutrality. We utilise the …

This is a revised version of the 1984 book of the same name but considerably modified and
enlarged to accommodate the developments in recursive estimation and time series …

The decomposition of time series into components is an important task that helps to
understand time series and can enable better forecasting. Nowadays, with high sampling …

A considerable body of economic literature shows the adverse economic impacts of oil-price
shocks for the developed economies. However, there has been a lack of similar empirical …