On the generation of normal random vectors.
Expert InsightsPublished 1960
A discussion of two methods for generating random vectors from a multivariate normal population with a specified variance-covariance matrix. The generation of normal random vectors with given covariance matrix <> is best accomplished by the method based on matrix equations. The method based on conditional distributions may be economical in some special instances, but otherwise will usually be inferior to the matrix equation method.
Document Details
- Copyright: RAND Corporation
- Availability: Web Only
- Year: 1960
- Pages: 7
- DOI: https://doi.org/10.7249/pubs
- Document Number: P-2144
Citation
RAND Style Manual
Chicago Manual of Style
This publication is part of the RAND paper series. The paper series was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.
RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.