Ontology highlight
ABSTRACT:
SUBMITTER: Hanel R
PROVIDER: S-EPMC5330461 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Hanel Rudolf R Corominas-Murtra Bernat B Liu Bo B Thurner Stefan S
PloS one 20170228 2
Most standard methods based on maximum likelihood (ML) estimates of power-law exponents can only be reliably used to identify exponents smaller than minus one. The argument that power laws are otherwise not normalizable, depends on the underlying sample space the data is drawn from, and is true only for sample spaces that are unbounded from above. Power-laws obtained from bounded sample spaces (as is the case for practically all data related problems) are always free of such limitations and maxi ...[more]