More effective time-series analysis and forecasting

The present aim is to suggest ways of improving time-domain modelling, for the purpose of more effective forecasting, by better interpretation of the sample autocorrelations and partial autocorrelations obtained from raw time-series data. For this objective, it assumes no specialist knowledge, as the paper starts by surveying all those standard ideas of univariate analysis which are needed for the subsequent development of the thesis.