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Multivariate Normal Distribution: A generalisation of the univariate normal distribution to multiple dimensions, characterised by a mean vector and a covariance matrix.
Topics include multivariate normal distribution, multivariate analysis of variance and covariance (MANOVA and MACOVA), principal components, factor analysis, structure equation modeling, canonical ...
Kocherlakota Subrahmaniam, Recent Trends in Multivariate Normal Distribution Theory: On the Zonal Polynomials and Other Functions of Matrix Argument, Sankhyā: The Indian Journal of Statistics, Series ...
An introduction to the theory and application of modern multivariate methods used in the Social Sciences: Multivariate normal distribution, principal components analysis, factor analysis, latent ...
We propose a pseudo-likelihood method utilizing pairs of variables that provides MLEs of mean and unstructured covariance parameters corresponding to a multivariate normal or lognormal distribution in ...
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