Document Detail


Data estimation and the colour of time series.
MedLine Citation:
PMID:  11735289     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
There has been a long debate on the source of temporal fluctuations in natural population densities. The difficulty is that unpredictable irregularities might be attributed either to external environmental factors or to chaotic dynamics of populations, or even to the interaction of these two factors. Some years ago Cohen (1995) pointed out that real time series follow redshifted Fourier power spectra, while the simplest chaotic population dynamical models are mostly blueshifted. Since then, the controversy has focused on comparisons of Fourier spectra originating from different models and data. Here, we show experimentally that estimation process by human observers shifts power spectra to the red. This result implies that because of estimation distortion, real population data must be less redshifted than many recorded time series suggest.
Authors:
I Scheuring; O E Zeöld
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of theoretical biology     Volume:  213     ISSN:  0022-5193     ISO Abbreviation:  J. Theor. Biol.     Publication Date:  2001 Dec 
Date Detail:
Created Date:  2001-12-12     Completed Date:  2002-01-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0376342     Medline TA:  J Theor Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  427-34     Citation Subset:  IM    
Copyright Information:
Copyright 2001 Academic Press.
Affiliation:
Department of Plant Taxonomy and Ecology, Research Group of Ecology and Theoretical Biology, Eötvös University, Pdzmàny Péter Sétány 1/B, Budapest, H-1117, Hungary. shieazsf@ludens.elte.hu
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MeSH Terms
Descriptor/Qualifier:
Animals
Fourier Analysis*
Likelihood Functions
Models, Statistical*
Population Dynamics*
Sensitivity and Specificity
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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