Tyler, David E. The asymptotic distribution of principal component roots under local alternatives to multiple roots. (English) Zbl 0546.62007 Ann. Stat. 11, 1232-1242 (1983). Let \(\Sigma_ n\) be a sequence of nonrandom symmetric positive definite matrices of order p, and let \(\Gamma_ n\) be any sequence of \(p\times p\) nonrandom matrices such that \(\Gamma^ t_ n\Gamma_ n=\Sigma_ n^{-1}\). Further, let \(S_ n\) be a sequence of random symmetric positive definite matrices of order p such that \(n^{{1\over2}}\Gamma_ n(S_ n-\Sigma_ n)\Gamma^ t_ n\) are asymptotically normal and possess certain invariance properties. In this paper, the asymptotic behavior of the principal component roots of \(S_ n\) is studied under a sequence of local alternatives to multiple population roots. As an application of the result, a local power function for the test for subsphericity is studied. Reviewer: K.Yoshihara Cited in 14 Documents MSC: 62E20 Asymptotic distribution theory in statistics 62H25 Factor analysis and principal components; correspondence analysis 62H10 Multivariate distribution of statistics 15B52 Random matrices (algebraic aspects) Keywords:affine-invariant M-estimates of scatter; elliptical distributions; spherically invariant random matrices; principal component roots; local alternatives to multiple population roots; local power function; test for subsphericity × Cite Format Result Cite Review PDF Full Text: DOI