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Status已发表Published
TitleOn multivariate vertical density representation and its application to random number generation
Creator
Date Issued1997
Source PublicationStatistics
ISSN2331888
Volume30Issue:2Pages:163-180
Abstract

Motivated by the works of Troutt (1991, 1993) and Kotz and Troutt (1996), we provide a multivariate definition of the vertical density representation (vdr) and calculate its value for some basic multivariate distributions presented in Fang et al. (1990) and Johnson (1987). Utilizing the multivariate vdr and the theorem of Troutt (1993) we generalize the well-known Box-Muller method to generate the basic multivariate distributions.

KeywordBox-Muller method L1-norm symmetric distribution Lp-norm symmetric distribution Spherically symmetric distribution Vertical density representation
DOI10.1080/02331889708802607
Indexed BySCIE
Language英语English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000071287100005
Scopus ID2-s2.0-5244341885
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/3366
CollectionResearch outside affiliated institution
Affiliation
1.University of Maryland, College Park, MD, United States
2.Hong Kong Baptist Univ. Acad. Sin., Beijing, China
3.Dept. of Mgmt. Sci. and Statistics, University of Maryland, College Park, MD 20742, United States
4.Hong Kong Baptist University, Faculty of Science, Department of Mathematics, Kowloon Tong, Hong Kong
Recommended Citation
GB/T 7714
Kotz, Samuel,Fang, Kaitai,Liang, Jiajuan. On multivariate vertical density representation and its application to random number generation[J]. Statistics, 1997, 30(2): 163-180.
APA Kotz, Samuel, Fang, Kaitai, & Liang, Jiajuan. (1997). On multivariate vertical density representation and its application to random number generation. Statistics, 30(2), 163-180.
MLA Kotz, Samuel,et al."On multivariate vertical density representation and its application to random number generation". Statistics 30.2(1997): 163-180.
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