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Elliptically Contoured Models in Statistics and Portfolio Theory
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Table of Contents

​​​​Preliminaries.- Basic Properties.- Probability Density Function and Expected Values.- Mixtures of Normal Distributions.- Quadratic Forms and other Functions of Elliptically Contoured Matrices.- Characterization Results.- Estimation.- Hypothesis Testing.- Linear Models.- Skew Elliptically Contoured Distributions.- Application in Portfolio Theory.- Author Index.- Subject Index.

About the Author

Arjun Gupta is affiliated with the Department of Statistics at Bowling Green State University. Tamas Varga is a statistical researcher in Hungary. Taras Bodnar is affiliated with the Department of Statistics at Stiftung European University Viadrina.

Reviews

From the book reviews:“The book is a thorough presentation of the results from the literature and some new ones and is a product of a careful work of its authors. … the book under review is a useful collection of numerous facts concerning elliptically contoured distributions for random matrices. It may find its place in research libraries as a valuable reference source and will surely appeal to the researches working in the theory of multivariate distributions.” (Ilya S. Molchanov, zbMATH 1306.62028, 2015)

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