ABSTRACT
Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved Components rectifies this deficiency by giving a practical o
TABLE OF CONTENTS
part |2 pages
I Statistical prediction and time series
part |2 pages
II Unobserved components
part |2 pages
III Applications