Title
Modeling a minimal spanning tree.
Abstract
We model the distribution of the normalized interpoint distances (IDs) on the minimal spanning tree (MST) using multivariate beta vectors. We use a multivariate normal copula with beta marginals and a Dirichlet distribution to obtain beta vectors. Based on the normalized ordered IDs of the MST, we define a multivariate Gini index to measure the scatter of a data cloud. An example considers the MST of numerals in 11 European languages and obtains their Gini index. A simulation study compares the Gini index, the maximum and the range of the IDs for multivariate normal and log-normal data, with the results of modeling the distances on the MST.
Year
DOI
Venue
2017
10.1080/03610918.2016.1148726
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
Field
DocType
Dirichlet,Gini index,Lorenz Curve,Minimal Spanning Tree,Multivariate beta
Econometrics,Normalization (statistics),Lorenz curve,Multivariate statistics,Copula (linguistics),Multivariate normal distribution,Dirichlet distribution,Statistics,Mathematics,Minimum spanning tree
Journal
Volume
Issue
ISSN
46
7
0361-0918
Citations 
PageRank 
References 
0
0.34
1
Authors
2
Name
Order
Citations
PageRank
Haigang Liu100.34
Reza Modarres2409.30