Asymptotic Expansions for the Joint and Marginal Distributions of the Latent Roots of the Covariance Matrix
Let nS be an m× m matrix having the Wishart distribution Wm(n,Σ). For large n and simple latent roots of Σ, it is known that the latent roots of S are asymptotically independently normal. In this paper an expansion, up to and including the terms of order n-1, is given for the joint density function...
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Veröffentlicht in: | The Annals of statistics 1975-07, Vol.3 (4), p.1011-1017 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Let nS be an m× m matrix having the Wishart distribution Wm(n,Σ). For large n and simple latent roots of Σ, it is known that the latent roots of S are asymptotically independently normal. In this paper an expansion, up to and including the terms of order n-1, is given for the joint density function of the roots of S in terms of normal density functions. Expansions for the marginal distributions of the roots are also given, valid when the corresponding roots of Σ are simple. |
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ISSN: | 0090-5364 2168-8966 |
DOI: | 10.1214/aos/1176343205 |