Use of Phase for the Detection of Hidden Periodicites
Copyright policy )Use of Phase for the Detection of Hidden Periodicites
AbstractStandard tests for the detection of hidden periodicities in time series are largely ignored by applied workers. Various simple but inappropriate methods are used instead. Therefore a method is suggested which is both simple and appropriate but which requires the prior knowledge of certain characteristics of the suspected periodicity. For illustration, this method is applied to a set of data from a chronobiological study.
- University of Vienna Austria
101018 Statistik, Time series, auto-correlation, regression, etc. in statistics (GARCH), 101018 Statistics, Inference from stochastic processes and spectral analysis
101018 Statistik, Time series, auto-correlation, regression, etc. in statistics (GARCH), 101018 Statistics, Inference from stochastic processes and spectral analysis
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!