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	Moderate deviation principles for classical likelihood ratio tests of high-dimensional normal distributions
	Jiang, Hui[1]; Wang, Shaochen[2]
刊名	JOURNAL OF MULTIVARIATE ANALYSIS
	2017
卷号	156页码:57-69
关键词	High-dimensional normal distribution Likelihood ratio tests Moderate deviations
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2182183
专题	华南理工大学
作者单位	1.[1]Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing, Jiangsu, Peoples R China 2.[2]South China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Hui[1],Wang, Shaochen[2]. Moderate deviation principles for classical likelihood ratio tests of high-dimensional normal distributions[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2017,156:57-69.
APA	Jiang, Hui[1],&Wang, Shaochen[2].(2017).Moderate deviation principles for classical likelihood ratio tests of high-dimensional normal distributions.JOURNAL OF MULTIVARIATE ANALYSIS,156,57-69.
MLA	Jiang, Hui[1],et al."Moderate deviation principles for classical likelihood ratio tests of high-dimensional normal distributions".JOURNAL OF MULTIVARIATE ANALYSIS 156(2017):57-69.

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