scholarly journals A population analysis for hierarchical data structures

1987 ◽  
Author(s):  
Randal C. Nelson ◽  
Hanan Samet
Keyword(s):  
Data Structures ◽  
Population Analysis ◽  
Hierarchical Data ◽  
Hierarchical Data Structures

scholarly journals A population analysis for hierarchical data structures

1987 ◽  
Vol 16 (3) ◽  
pp. 270-277 ◽  
Author(s):  
Randal C. Nelson ◽  
Hanan Samet
Keyword(s):  
Data Structures ◽  
Population Analysis ◽  
Hierarchical Data ◽  
Hierarchical Data Structures

scholarly journals NPSNET: Hierarchical data structures for real-time three-dimensional visual simulation

1993 ◽  
Vol 17 (1) ◽  
pp. 65-69 ◽  
Author(s):  
John S. Falby ◽  
Michael J. Zyda ◽  
David R. Pratt ◽  
Randy L. Mackey
Keyword(s):  
Real Time ◽  
Data Structures ◽  
Three Dimensional ◽  
Visual Simulation ◽  
Hierarchical Data ◽  
Hierarchical Data Structures

Multilevel Models

2009 ◽  
Author(s):  
Bradford S. Jones
Keyword(s):  
Random Effects ◽  
Data Structures ◽  
Multilevel Model ◽  
Multilevel Models ◽  
Great Promise ◽  
Hierarchical Data ◽  
Hierarchical Data Structures ◽  
Fixed And Random Effects

This article addresses multilevel models in which units are nested within one another. The focus is primarily two-level models. It also describes cross-unit heterogeneity. Moreover, it assesses the fixed and random effects from the multilevel model. It generally tries to convey the scope of multilevel models but in a very compact way. Multilevel models provide great promise for exploiting information in hierarchical data structures. There are a range of alternatives for such data and it bears repeating that sometimes, simpler-to-apply correctives are best.

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