Parameter estimation and data analysis for stable distributions

It is now practical to use maximum likelihood estimation to estimate stable parameters and to give large sample confidence regions. Just as important as estimating parameters is assessing whether or not a given sample is stably distributed. Diagnostics for this purpose are demonstrated. Several methods of estimating the spectral measure of a multivariate stable distribution are described, and diagnostics for assessing stability of a multivariate sample are also demonstrated.

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