18352624

Source:http://linkedlifedata.com/resource/pubmed/id/18352624

Download in:

Switch to

Custom View

Named Graph Language Inference

Statements in which the resource exists as a subject.
Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0025663, umls-concept:C0040223, umls-concept:C0205549, umls-concept:C0936012, umls-concept:C2348012
pubmed:issue	8
pubmed:dateCreated	2008-3-20
pubmed:abstractText	Here we propose a new method, detrended cross-correlation analysis, which is a generalization of detrended fluctuation analysis and is based on detrended covariance. This method is designed to investigate power-law cross correlations between different simultaneously recorded time series in the presence of nonstationarity. We illustrate the method by selected examples from physics, physiology, and finance.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0401141
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Feb
pubmed:issn	0031-9007
pubmed:author	pubmed-author:PodobnikBorisB, pubmed-author:StanleyH EugeneHE
pubmed:issnType	Print
pubmed:day	29
pubmed:volume	100
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	084102
pubmed:meshHeading	pubmed-meshheading:18352624-Cardiovascular Diseases, pubmed-meshheading:18352624-Data Interpretation, Statistical, pubmed-meshheading:18352624-Electrocardiography, pubmed-meshheading:18352624-Electroencephalography, pubmed-meshheading:18352624-Humans, pubmed-meshheading:18352624-Models, Statistical, pubmed-meshheading:18352624-Sleep Apnea Syndromes
pubmed:year	2008
pubmed:articleTitle	Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series.
pubmed:affiliation	Department of Physics, University of Rijeka, Rijeka, Croatia . bp@phy.hr
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't