Linked Life Data

16194302

Source:http://linkedlifedata.com/resource/pubmed/id/16194302

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2005-9-30
pubmed:abstractText
Some salient properties of the inverse power law distribution, the exponential distribution, catastrophe distributions, and the relationships among them were explored and compared. Self-organizing events may display any of these distributions. Catastrophe functions and their distributions do not display fractional (fractal) dimensions. Thus it is possible to have self-organization without the fractal. An empirical example from leadership emergence research illustrated a situation where a power law distribution provided a poor characterization of the data, but a swallowtail catastrophe model did so quite well. The results call into question some simplistic assumptions about the relationships among fractals, inverse power laws, self-organization and so-called pink noise.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1090-0578
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
463-78
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Statistical distributions and self-organizing phenomena: what conclusions should be drawn?
pubmed:affiliation
Marquette University, Milwaukee, WI 53201-1881, USA. stephen.guastello@marquette.edu
pubmed:publicationType
Journal Article