Some Remarks on Maximum Likelihood Estimation in Alpha-Stable Environment

Abstract

This paper concerns the problem of maximum likelihood (ML) estimation in the case of impulsive observations modeled by heavy-tailed $\alpha$-stable distributions. To describe analytically the cost function in ML estimation criterion the Fox function representation of $\alpha$-stable distributions is used.