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Fisher Information Matrix of General Stable Distributions Close to the Normal Distribution
Muneya Matsui · 2005-02-26 · via math.ST updates on arXiv.org

We investigate behavior of the Fisher information matrix of general stable distributions. DuMouchel (1975, 1983) proved that the Fisher information of characteristic exponent αdiverges to infinity as αapproaches 2. Nagaev and Shkol'nik (1988) made more detailed analysis and derived asymptotic behavior of the Fisher information matrix of αdiverging to infinity as αapproaches 2 in the symmetric case. Extending their work in this paper we have obtained behavior of the Fisher information matrix of general stable distributions as αapproaches 2 by detailed study of behavior of the corresponding density and its score functions. We clarify the limiting values of the 4*4 Fisher Information matrix with respect to the location μ, the scale σ, the characteristic exponent αand the skewness parameter β.

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