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Activity Number: 143
Type: Contributed
Date/Time: Monday, August 7, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Statisticians in Defense and National Security
Abstract - #306117
Title: Time Transformation Methods for Analyzing Time Series with Time-Varying Frequencies
Author(s): James R. Haney*+ and Wayne A. Woodward and Henry L. Gray
Companies: Southern Methodist University and Southern Methodist University and Southern Methodist University
Address: Department of Statistical Science, Dallas, TX, 75275-0332,
Keywords: time series ; time transformation ; time-varying frequency
Abstract:

A time series with time-varying frequencies can often be transformed into a stationary time series by transforming the time axis. After this time transformation, traditional methods for analyzing stationary time series can then be used. This paper discusses these time-transformation methods, which can be usefully applied to many seismological and biomedical time series where potential applications include classification and smoothing. Examples are discussed in detail.

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