B1532
Title: A computational approach for the estimation of discrete Pareto parameters
Authors: Tomasz Kozubowski - University of Nevada Reno (United States) [presenting]
Charles Amponsah - University of Nevada (United States)
Abstract: A discrete Pareto distribution is a probability model with a power-law tail, which provides a convenient alternative to the well-known Zipf distribution. We propose a computational approach to parameter estimation connected with this model viz. the expectation-maximization (EM) algorithm. The approach is illustrated by a simulation study and a real data example from finance.
