Time series play a crucial role in modern economies at all levels of
activity and are used by decision makers to plan for a better future.
Before publication time series are subject to statistical adjustments
and this is the first statistical book to systematically deal with the
methods most often applied for such adjustments. Regression-based models
are emphasized because of their clarity, ease of application, and
superior results. Each topic is illustrated with real case examples. In
order to facilitate understanding of their properties and limitations of
the methods discussed a real data example is followed throughout the
book.