Maximum Likelihood Estimates of Symmetric Stable Distribution Parameters

Abstract

A method is developed to directly obtain maximum likelihood estimates of symmetric stable distribution parameters. This is a difficult estimation problem since the likelihood function is expressed as an integral. The estimation routine is tested on a Monte Carlo sample and produces reasonable estimates.

Keywords:

• Paretian distribution
• leptokurtosis
• numerical integration
• non-linear optimization