Population correlation matrices for sampling experiments
作者:
Robert B. Bendel,
M. Ray Mickey,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1978)
卷期:
Volume 7,
issue 2
页码: 163-182
ISSN:0361-0918
年代: 1978
DOI:10.1080/03610917808812068
出版商: Marcel Dekker, Inc.
关键词: Random Correlation Matrices;Eigenvalues;Monte Carlo Simulation;Random Orthogonal Matrices;Stepwise Regression
数据来源: Taylor
摘要:
A procedure is given for generating correlation matrices which can be used as population correlation matrices for sampling experiments. The algorithm specifies the eigenvalues and randomly selects a correlation matrix from the class of all correlation matrices which possess these same eigenvalues. It is possible to obtain a set of correlation matrices which are indexed by the degree of interdependence among the variables by parameterizing the eigenvalues with a single parameter. An example is the case in which the eigenvalues form a geometric progression. Examples are given and an application to the problem of stopping rules in stepwise regression is discussed. Other applications are also briefly discussed.
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