Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, the Wishart distribution is a generalization to multiple dimensions of the chi-square distribution, or, in the case of non-integer degrees of freedom, of the gamma distribution. It is named in honor of John Wishart, who first formulated the distribution in 1928. It is any of a family of probability distributions for nonnegative-definite matrix-valued random variables (random matrices"). These distributions are of great importance in the estimation of covariance matrices in multivariate statistics."
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! In statistics, the Wishart distribution is a generalization to multiple dimensions of the chi-square distribution, or, in the case of non-integer degrees of freedom, of the gamma distribution. It is named in honor of John Wishart, who first formulated the distribution in 1928. It is any of a family of probability distributions for nonnegative-definite matrix-valued random variables ('random matrices'). These distributions are of great importance in the estimation of covariance matrices in multivariate statistics. Englisch. N° de réf. du vendeur 9786130362317
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In statistics, the Wishart distribution is a generalization to multiple dimensions of the chi-square distribution, or, in the case of non-integer degrees of freedom, of the gamma distribution. It is named in honor of John Wishart, who first formulated the distribution in 1928. It is any of a family of probability distributions for nonnegative-definite matrix-valued random variables ('random matrices'). These distributions are of great importance in the estimation of covariance matrices in multivariate statistics. N° de réf. du vendeur 9786130362317
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