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August, 1967 On the Distribution of the Largest Latent Root of the Covariance Matrix
T. Sugiyama
Ann. Math. Statist. 38(4): 1148-1151 (August, 1967). DOI: 10.1214/aoms/1177698783

Abstract

The distribution of the largest latent root of the covariance matrix calculated from a sample from the normal normalitive multivariate population with population covariance matrix $\sigma^2 I$ are presented by author [10] in 1966. The purpose of this paper is to find the distribution of the largest latent root for arbitrary $\Sigma$.

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T. Sugiyama. "On the Distribution of the Largest Latent Root of the Covariance Matrix." Ann. Math. Statist. 38 (4) 1148 - 1151, August, 1967. https://doi.org/10.1214/aoms/1177698783

Information

Published: August, 1967
First available in Project Euclid: 27 April 2007

zbMATH: 0161.38301
MathSciNet: MR216669
Digital Object Identifier: 10.1214/aoms/1177698783

Rights: Copyright © 1967 Institute of Mathematical Statistics

Vol.38 • No. 4 • August, 1967
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