2003 | OriginalPaper | Buchkapitel
Theory of the Multinormal
verfasst von : Wolfgang Härdle, Léopold Simar
Erschienen in: Applied Multivariate Statistical Analysis
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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In the preceeding chapter we saw how the multivariate normal distribution comes into play in many applications. It is useful to know more about this distribution, since it is often a good approximate distribution in many situations. Another reason for considering the multinormal distribution relies on the fact that it has many appealing properties: it is stable under linear transforms, zero correlation corresponds to independence, the marginals and all the conditionals are also multivariate normal variates, etc. The mathematical properties of the multinormal make analyses much simpler.