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Volumn 90, Issue 2, 2003, Pages 411-421

Weighted chi-squared tests for partial common principal component subspaces

Author keywords

Correlation matrix; Dimensionality reduction; Principal components analysis

Indexed keywords


EID: 3843144840     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/90.2.411     Document Type: Article
Times cited : (5)

References (16)
  • 2
    • 3843082641 scopus 로고    scopus 로고
    • Spectral models for covariance matrices
    • BOIK, R. J. (2002). Spectral models for covariance matrices. Biometrika 89, 159-82.
    • (2002) Biometrika , vol.89 , pp. 159-182
    • Boik, R.J.1
  • 4
    • 21144465864 scopus 로고
    • Tail areas of linear combinations of chi-squares and non-central chi-squares
    • FIELD, C. (1993). Tail areas of linear combinations of chi-squares and non-central chi-squares. J. Statist. Comp. Simul. 45, 243-8.
    • (1993) J. Statist. Comp. Simul. , vol.45 , pp. 243-248
    • Field, C.1
  • 5
    • 0003373430 scopus 로고
    • Two generalizations of the common principal component model
    • FLURY, B. (1987). Two generalizations of the common principal component model. Biometrika 74, 59-69.
    • (1987) Biometrika , vol.74 , pp. 59-69
    • Flury, B.1
  • 6
    • 84950659640 scopus 로고
    • Between-group comparison of principal components
    • KRZANOWSKI, W. J. (1979). Between-group comparison of principal components. J. Am. Statist. Assoc. 74, 703-7.
    • (1979) J. Am. Statist. Assoc. , vol.74 , pp. 703-707
    • Krzanowski, W.J.1
  • 8
    • 21344447903 scopus 로고    scopus 로고
    • The asymptotic variance matrices of the sample correlation matrix in elliptical and normal situations and their proportionality
    • NEUDECKER, H. (1996). The asymptotic variance matrices of the sample correlation matrix in elliptical and normal situations and their proportionality. Lin. Algeb. Applic. 237/238, 127-32.
    • (1996) Lin. Algeb. Applic. , vol.237-238 , pp. 127-132
    • Neudecker, H.1
  • 9
    • 38249020616 scopus 로고
    • The asymptotic variance matrices of the sample correlation matrix
    • NEUDECKER, H. & WESSELMAN, A. M. (1990). The asymptotic variance matrices of the sample correlation matrix. Lin. Algeb. Applic. 127, 589-99.
    • (1990) Lin. Algeb. Applic. , vol.127 , pp. 589-599
    • Neudecker, H.1    Wesselman, A.M.2
  • 10
    • 0018758830 scopus 로고
    • An attempt to define the nature of chemical diabetes using multi-dimensional analysis
    • REAVEN, G. M. & MILLER, R. G. (1979). An attempt to define the nature of chemical diabetes using multi-dimensional analysis. Diabetologia 16, 17-24.
    • (1979) Diabetologia , vol.16 , pp. 17-24
    • Reaven, G.M.1    Miller, R.G.2
  • 11
    • 0345158239 scopus 로고
    • Common principal component subspaces in two groups
    • SCHOTT, J. R. (1988). Common principal component subspaces in two groups. Biometrika 75, 229-36.
    • (1988) Biometrika , vol.75 , pp. 229-236
    • Schott, J.R.1
  • 12
    • 0007090002 scopus 로고
    • Some tests for common principal component subspaces in several groups
    • SCHOTT, J. R. (1991). Some tests for common principal component subspaces in several groups. Biometrika 78, 771-7.
    • (1991) Biometrika , vol.78 , pp. 771-777
    • Schott, J.R.1
  • 14
    • 0007038401 scopus 로고    scopus 로고
    • Asymptotics of eigenprojections of correlation matrices with some applications in principal components analysis
    • SCHOTT, J. R. (1997b). Asymptotics of eigenprojections of correlation matrices with some applications in principal components analysis. Biometrika 84, 327-37.
    • (1997) Biometrika , vol.84 , pp. 327-337
    • Schott, J.R.1
  • 15
    • 3843142518 scopus 로고    scopus 로고
    • Partial common principal component subspaces
    • SCHOTT, J. R. (1999). Partial common principal component subspaces. Biometrika 86, 899-908.
    • (1999) Biometrika , vol.86 , pp. 899-908
    • Schott, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.