1972•Journal of the American Statistical AssociationRequires access

Estimation in Univariate and Multivariate Stable Distributions

S. James Press

Open publisher page 249 citations

Abstract

This paper proposes several methods of estimating parameters in stable distributions. All the methods involve sample characteristic functions. One of the methods which is based upon the method of moments is treated in some detail. Asymptotic normal distributions for the proposed moment estimators are provided. Moreover, all methods provide consistent estimators. The estimation problem is treated for both univariate and multivariate stable distributions.

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What this paper is about

This paper proposes several methods of estimating parameters in stable distributions. All the methods involve sample characteristic functions. One of the methods which is based upon the method of moments is treated in some detail. Asymptotic normal distributions for the proposed moment estimators are provided. Moreover, all methods provide consistent estimators. The estimation problem is treated for both univariate and multivariate stable distributions.

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OpenAlex reports 249 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper proposes several methods of estimating parameters in stable distributions. All the methods involve sample characteristic functions. One of the methods which is based upon the method of moments is treated in some detail. Asymptotic normal distributions for the proposed moment estimators are provided. Moreover, all methods provide consistent estimators. The estimation problem is treated for both univariate and multivariate stable distributions.

Key concepts: Univariate, Estimator, Multivariate statistics, Mathematics, Moment (physics), Statistics, Applied mathematics, Estimation

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