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A Generalized Method of Image Analysis from an Intercorrelation Matrix which may be Singular
Following the works of Guttman (1953) and Kaiser (1976), we show that the image and anti-image covariance matrices can be derived from a singular correlation matrix, by making use of the orthogonal projector and a weaker generalized inverse matrix.
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Published in: | Psychometrika 1987-12, Vol.52 (4), p.555-564 |
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Main Authors: | , |
Format: | Article |
Language: | English |
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cited_by | cdi_FETCH-LOGICAL-c259t-f8fdba655ae813e30ff7539096c751af01894a3d37fca91c8f8aad72b49d177d3 |
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cites | cdi_FETCH-LOGICAL-c259t-f8fdba655ae813e30ff7539096c751af01894a3d37fca91c8f8aad72b49d177d3 |
container_end_page | 564 |
container_issue | 4 |
container_start_page | 555 |
container_title | Psychometrika |
container_volume | 52 |
creator | Yanai, Haruo Mukherjee, Bishwa Nath |
description | Following the works of Guttman (1953) and Kaiser (1976), we show that the image and anti-image covariance matrices can be derived from a singular correlation matrix, by making use of the orthogonal projector and a weaker generalized inverse matrix. |
doi_str_mv | 10.1007/BF02294819 |
format | article |
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issn | 0033-3123 1860-0980 |
language | eng |
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source | Springer LINK Archives |
title | A Generalized Method of Image Analysis from an Intercorrelation Matrix which may be Singular |
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