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Titlebook: Elliptically Contoured Models in Statistics and Portfolio Theory; Arjun K. Gupta,Tamas Varga,Taras Bodnar Book 2013Latest edition Springer

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發(fā)表于 2025-3-21 20:09:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Elliptically Contoured Models in Statistics and Portfolio Theory
編輯Arjun K. Gupta,Tamas Varga,Taras Bodnar
視頻videohttp://file.papertrans.cn/308/307812/307812.mp4
概述Fully revised new edition of this classic text.Presents comprehensive overview of elliptical contoured models and their applications to statistics.The final chapter provides real-life case example of
圖書(shū)封面Titlebook: Elliptically Contoured Models in Statistics and Portfolio Theory;  Arjun K. Gupta,Tamas Varga,Taras Bodnar Book 2013Latest edition Springer
描述.Elliptically Contoured Models in Statistics and Portfolio Theory fully revises the first detailed introduction to the theory of matrix variate elliptically contoured distributions. There are two additional chapters, and all the original chapters of this classic text have been updated. Resources in this book will be valuable for researchers, practitioners, and graduate students in statistics and related fields of finance and engineering. Those interested in multivariate statistical analysis and its application to portfolio theory will find this text immediately useful. ?In multivariate statistical analysis, elliptical distributions have recently provided an alternative to the normal model. Elliptical distributions have also increased their popularity in finance because of the ability to model heavy tails usually observed in real data. Most of the work, however, is spread out in journals throughout the world and is not easily accessible to the investigators. A noteworthy function of this book is the collection of the most important results on the theory of matrix variate elliptically contoured distributions that were previously only available in the journal-based literature. The con
出版日期Book 2013Latest edition
關(guān)鍵詞Distributions; Elliptical models; Matrix algebra; Multivariate statistical analysis; Quadratic forms; Sta
版次2
doihttps://doi.org/10.1007/978-1-4614-8154-6
isbn_softcover978-1-4939-5328-8
isbn_ebook978-1-4614-8154-6
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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Elliptically Contoured Models in Statistics and Portfolio Theory
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Elliptically Contoured Models in Statistics and Portfolio Theory978-1-4614-8154-6
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Basic Propertiestically contoured distributions, such as the stochasticrepresentation, the conditional and marginal distributions. Finally, several families of matrix variate elliptically contoured distributions are introduced.
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Application in Portfolio Theoryier. Furthermore, an exact test for the weights of the global minimum variance portfolio is presented as well as the inferences for Markowitz’s efficient frontier are provided. Finally, an unbiased estimator of the efficient frontier is derived and an overall-F-test is suggested.
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Skew Elliptically Contoured Distributionss, etc. In this chapter, we deal with matrix variate closed skew normal distributions. Their distributional properties are presented and the extension to matrix variate closed skew elliptically contoured distributions is suggested.Finally, an application to portfolio theory is provided.
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