Generic global identification in factor analysis
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Publication:1369298
DOI10.1016/S0024-3795(96)00363-1zbMath0902.62066WikidataQ127012143 ScholiaQ127012143MaRDI QIDQ1369298
Paul A. Bekker, Jos M. F. ten Berge
Publication date: 7 January 1998
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
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Cites Work
- Unnamed Item
- Unnamed Item
- A numerical approach to the approximate and the exact minimum rank of a covariance matrix
- Rank-reducibility of a symmetric matrix and sampling theory of minimum trace factor analysis
- Estimating linear statistical relationships
- Identifiability of factor analysis: Some results and open problems
- Schur complements and statistics
- The rank of reduced dispersion matrices
- Determination of the inertia of a partitioned Hermitian matrix
- The Resolution of Six Tests into Three General Factors
- Enlargement Methods for Computing the Inverse Matrix
- The Matrices of Factor Analysis
