• Medientyp: E-Book
  • Titel: The Difference-of-Log-Normals Distribution : Properties, Estimation, and Growth
  • Beteiligte: Parham, Robert [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, 2023
  • Umfang: 1 Online-Ressource (30 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4357356
  • Identifikator:
  • Schlagwörter: Heavy-tails ; distributions ; log-Normal ; growth
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 1, 2023 erstellt
  • Beschreibung: This paper describes the Difference-of-Log-Normals (DLN) distribution. A companion paper Parham (2023) makes the case that the DLN is a fundamental distribution in nature, and shows how a simple application of the CLT gives rise to the DLN in many disparate phenomena. Here, I characterize its PDF, CDF, moments, and parameter estimators; generalize it to N-dimensions using spherical distribution theory; describe methods to deal with its signature "double-exponential" nature; and use it to generalize growth measurement to possibly-negative variates distributing DLN. I also conduct Monte-Carlo experiments to establish some properties of the estimators and measures described
  • Zugangsstatus: Freier Zugang