Practical techniques are discussed for analyzing time series whose statistical properties are changing with time, first considering how principal component analysis can reduce the multidimensional nature of certain series, in particular, applying this technique to the analysis of changing seasonal patterns. Discussions of trend, changes in oscillatory behavior, and "unusual' events follow. -from Authors