Peer reviewedERIC Number: EJ578690
Record Type: Journal
Publication Date: 1998
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0033-3123
EISSN: N/A
Graph-Theoretic Representations for Proximity Matrices through Strongly-Anti-Robinson or Circular Strongly-Anti-Robinson Matrices.
Hubert, Lawrence; Arabie, Phipps; Meulman, Jacqueline
Psychometrika, v63 n4 p341-58 Dec 1998
Introduces a method for fitting order-constrained matrices that satisfy the strongly anti-Robinson restrictions (SAR). The method permits a representation of the fitted values in a (least-squares) SAR approximating matrix as lengths of paths in a graph. The approach is illustrated with a published proximity matrix. (SLD)
Descriptors: Least Squares Statistics, Matrices
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
