Heavy-tailed probability distributions in social sciences

Autor: Klebanov, Lev B., Kuvaeva, Yulia V.
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: We present an overview of possible reasons for the appearance of heavy-tailed distributions in applications to the natural sciences. These distributions include the laws of Pareto, Lotka, and some new ones. The reasons are illustrated using suitable toy models. Keywords: heavy-tailed distributions; Pareto law; Lotka law; Zipf law; probability generating function.
Databáze: arXiv