Theory of the Multinormal

Wolfgang Karl Härdle () and Leopold Simar
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Wolfgang Karl Härdle: Humboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Chair of Statistics

Chapter Chapter 5 in Applied Multivariate Statistical Analysis, 2019, pp 167-182 from Springer

Abstract: Abstract In the preceding 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.

Date: 2019
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Related works:
Chapter: Theory of the Multinormal (2024)
Chapter: Theory of the Multinormal (2015)
Chapter: Theory of the Multinormal (2003)
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DOI: 10.1007/978-3-030-26006-4_5

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