Predicting with networks: Nonparametric multiple regression analysis of dyadic data

Social Networks

Volumn 10, Issue 4, 1988, Pages 359-381

  Krackhardt, David ^a  

^a SAS Institute Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000345931     PISSN: 03788733     EISSN: None     Source Type: Journal    
DOI: 10.1016/0378-8733(88)90004-4     Document Type: Article

References (27)

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4. A higher moment for spatial statistics
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6. Galton's problem as network autocorrelation
7. Specifications of the disturbance term for efficient estimation
8. The effect of skewed distributions on matrix permutation tests
9. Centrality in social networks: Conceptual clarification
10. Inference procedures for the evaluation and comparison of proximity matrices
11. Combinatorial data analysis: Association and partial association
12. A heuristic method for the comparison of related structures
13. Quadratic assignment as a general data analysis strategy
14. QAP partialling as a test of spuriousness
15. Statistical analysis of dyadic social behavior
16. Finite sample efficiency of ordinary least in the linear regression model and autocorrelated errors
17. Analyzing relations in dyads
18. The detection of disease clustering and a general regression approach
19. On asymptotic non-normality of null distributions of MRPP statistics
20. Estimation methods for models of spatial interaction
21. Analyzing pair data and point data on social relationships, attitudes and background characteristics of Costa Rican Census Bureau employees
22. An overview of network analysis methods and programs
23. A Novitiate in a period of change: An experimental and case study of social relationships
24. Social structure from multiple networks I Blockmodels of roles and position