Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34994
Title: Further results on multivariate vertical density representation and an application to random vector generation
Authors: Pang, WK
Yang, ZH
Hou, SH
Troutt, MD
Keywords: Vertical density representation
Multivariate normal distribution
Random vector generation
Issue Date: 2001
Publisher: Taylor & Francis
Source: Statistics : a journal of theoretical and applied statistics, 2001, v. 35, no. 4, p. 463-477 How to cite?
Journal: Statistics : a journal of theoretical and applied statistics
Abstract: In this paper we further develop the theory of vertical density representation (VDR) in the multivariate case and provide a formula for the calculation of the conditional probability density of a random vector when its density value is given. An application to random vector generation is also given.
URI: http://hdl.handle.net/10397/34994
ISSN: 0233-1888
DOI: 10.1080/02331880108802748
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