on a workshop session at the 92nd Spring Meeting of the AAVSO, April 25, 2003;
revised August 2004
Abstract Time-series analysis is a rich field of
mathematical and statistical analysis, in which physical understanding of a
time-varying system can be gained through the analysis of time-series
measurements. There are several different techniques of time-series analysis
that can be usefully applied to variable star data sets. Some of these
techniques are particularly useful for data found in the AAVSO International
Database. In this paper, I give a broad overview of time-series analysis
techniques useful for variable star data, along with some practical suggestions
for the application of different techniques to different types of variables.
Included are elementary discussions of traditional Fourier methods, along with
wavelet and autocorrelation analysis.