◍wovepaper
SearchResearchersInstitutions
Sign in
institution

Conception de l'Action en Situation

France

4 papers here189 citations across 4
fields
  • cs.DL1
  • econ.GN1
  • physics.data-an1
  • q-fin.RM1
ROR 0476zq753OpenAlex

affiliations via OpenAlex

output
20092023
most citedGibrat's law for cities: uniformly most powerful unbiased test of the Pareto against the lognormal

184 citations

researchers with a paper here
  • D. Sornette2 · h 91
  • Yannick Malevergne2 · h 19
  • D. Rullière1 · h 13
  • J. C. Rozendaal1 · h 1
  • K. Said1 · h 5
  • V. Maume-Deschamps1 · h 14
  • V. Pisarenko1 · h 24
  • Wilfrid Azan1 · h 8
  • Yuan Li1 · h 6
collaborating institutions
  • ETH ZurichCH2 papers
  • Université Jean MonnetFR2 papers
  • Bureau d'Economie Théorique et AppliquéeFR1 paper
  • École de management de LyonFR1 paper
  • Exact Sciences (United States)US1 paper
  • Institut Camille JordanFR1 paper
  • Institute of Earthquake Prediction Theory and Mathematical GeophysicsRU1 paper
  • International Center for Transitional JusticeUS1 paper
  • Laboratoire de Sciences Actuarielle et FinancièreFR1 paper
  • Lyon 1 UniversitéFR1 paper
  • Russian Academy of SciencesRU1 paper
  • Society of American ForestersUS1 paper
Showing 2009Show all

1 paper · 1 filter

physics.data-an2009★ 184 cited

Gibrat's law for cities: uniformly most powerful unbiased test of the Pareto against the lognormal

Y. Malevergne, V. Pisarenko, D. Sornette

We address the general problem of testing a power law distribution versus a log-normal distribution in statistical data. This general problem is illustrated on the distribution of…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.