Significantly revised and expanded, Multivariate Staitstical Analysis, Second Edition addresses several new topics related to the properties and characterization of symmetric distribution, elliptically symmetric multivariate distributions, singular symmetric distributions, estimation of covariance matrices, tests of mean against one-sided alternatives, and more. Its discussions and examples draws on a wide range of multivariate data, from biometry, agriculture, biomedical science, economics, to filtering and stochastic control, stock market data analysis, and random signal processing. New topics include properties and characterization of symmetric distributions, elliptically symmetric multivariate distributions, singular symmetrical distributions, and regression and correlations in symmetrical distributions.

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