Evolutionary Spectra for Exploratory Data Analysis

dc.contributor.authorRea, W.S.
dc.date.accessioned2009-11-16T23:49:38Z
dc.date.available2009-11-16T23:49:38Z
dc.date.issued2009en
dc.description.abstractThis paper gives a brief introduction to windowed Fourier analysis also known as evolutionary spectral analysis (ESA). ESA has largely fallen into a back- water because the type of analysis it was intended to perform is now usually done with wavelets. ESA is not identical to wavelet analysis and so could be a worthwhile analysis to routinely perform along side other more estab- lished methods. The paper presents some example time series of tree ring sequences and stock market volatilities and shows how evolutionary spectral analysis can be useful in the exploratory data analysis phase of analysing a time series.en
dc.identifier.citationRea, W.S. (2009) Evolutionary Spectra for Exploratory Data Analysis. Christchurch, New Zealand: New Zealand Econometric Study Group Meeting, 27-28 Feb 2009.en
dc.identifier.urihttp://hdl.handle.net/10092/3133
dc.language.isoen
dc.publisherUniversity of Canterbury. Department of Economics and Financeen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.marsdenFields of Research::340000 Economics::340400 Econometrics::340403 Time-series analysisen
dc.subject.marsdenFields of Research::230000 Mathematical Sciences::239900 Other Mathematical Sciences::239999 Mathematical sciences not elsewhere classifieden
dc.titleEvolutionary Spectra for Exploratory Data Analysisen
dc.typeConference Contributions - Other
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