Asymptotic distribution in affiliation finite discrete weighted networks with an increasing degree sequence |
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| Authors: | Jing Luo Hong Qin Zhenghong Wang |
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| Affiliation: | 1. Department of Mathematics and Statistics, South-Central University for Nationalities, Wuhan, China;2. jingluo2017@mail.scuec.edu.cn;4. Department of Mathematics and Statistics, Central China Normal University, Wuhan, China |
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| Abstract: | ![]()
AbstractThe asymptotic normality of a fixed number of the maximum likelihood estimators (MLEs) in the affiliation finite discrete weighted networks with an increasing 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. |
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| Keywords: | Affiliation weighted networks central limit theorem increasing number of parameters maximum likelihood estimators |
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