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Electronic Resource

Elliptically contoured models in statistics and portfolio theory

Gupta, Arjun K. - Nama Orang; Varga, Tamas - Nama Orang; Bodnar, Taras - Nama Orang;

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 content is organized in a unified manner that can serve an a valuable introduction to the subject.


Ketersediaan
#
Perpustakaan Pusat E626
E626
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
E626
Penerbit
New York : Springer., 2013
Deskripsi Fisik
xx, 321 hlm.
Bahasa
English
ISBN/ISSN
9781461481546
Klasifikasi
NONE
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
2
Subjek
Analisis Statistik Multivariat
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Arjun K. Gupta, Tamas Varga, Taras Bodnar
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Elliptically Contoured Models in Statistics and Portfolio Theory
    https://doi.org/10.1007/978-1-4614-8154-6
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