Testing for Nodal Dependence in Relational Data Matrices

Relational data are often represented as a square matrix, the entries of which record the relationships between pairs of objects. Many statistical methods for the analysis of such data assume some degree of similarity or dependence between objects in terms of the way they relate to each other. Howev...

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Veröffentlicht in:	Journal of the American Statistical Association Jg. 110; H. 511; S. 1037 - 1046
Hauptverfasser:	Volfovsky, Alexander, Hoff, Peter D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Taylor & Francis 01.09.2015 Taylor & Francis Group, LLC Taylor & Francis Ltd
Schlagworte:	Analysis of covariance Correlation analysis covariance Data data analysis Hypothesis testing Matrices Matrix Matrix normal Maximum likelihood Multivariate analysis Networks Normal distribution Normality Statistical methods Statistics Tests Theory and Methods Networks Maximum likelihood hypothesis testing Matrix normal
ISSN:	1537-274X, 0162-1459, 1537-274X
Online-Zugang:	Volltext
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