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Generalized Multivariate Analysis

K.-T. Fang, Yao-Ting Zhang

Open publisher page 613 citations

Abstract

The theory of generalized multivariate analysis, based on elliptically contoured distributions, represents a great achievement in the field of multivariate analysis. The text discusses estimation of parameters, testing of hypotheses, and linear models employing the method of stochastic representation, rather than following the classical treatments. It is designed as a textbook for a one-semester course at postgraduate level and as a reference source for lecturers and researchers.

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What this paper is about

The theory of generalized multivariate analysis, based on elliptically contoured distributions, represents a great achievement in the field of multivariate analysis. The text discusses estimation of parameters, testing of hypotheses, and linear models employing the method of stochastic representation, rather than following the classical treatments. It is designed as a textbook for a one-semester course at postgraduate level and as a reference source for lecturers and researchers.

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OpenAlex reports 613 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The theory of generalized multivariate analysis, based on elliptically contoured distributions, represents a great achievement in the field of multivariate analysis. The text discusses estimation of parameters, testing of hypotheses, and linear models employing the method of stochastic representation, rather than following the classical treatments. It is designed as a textbook for a one-semester course at postgraduate level and as a reference source for lecturers and researchers.

Key concepts: Multivariate statistics, Multivariate analysis, Representation (politics), Field (mathematics), Mathematics, Statistics, Applied mathematics, Mathematics education

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