| Autor: |
Luo, Jing, Qin, Hong, Yan, Ting, Zeyneb, Laala |
| Předmět: |
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| Zdroj: |
Communications in Statistics: Theory & Methods; 2017, Vol. 46 Issue 18, p8852-8864, 13p |
| Abstrakt: |
The asymptotic normality of a fixed number of the maximum likelihood estimators (MLEs) in the directed exponential random graph models with an increasing bi-degree sequence has been established recently. In this article, we further derive a central limit theorem for a linear combination of all the MLEs with an increasing dimension. Simulation studies are provided to illustrate the asymptotic results. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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