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A t-distribution plot to detect non-multinormality

文献类型:期刊论文

作者Liang, JJ; Bentler, PM
刊名COMPUTATIONAL STATISTICS & DATA ANALYSIS
出版日期1999-03-28
卷号30期号:1页码:31-44
关键词graphical methods Q-Q plot testing multinormality
ISSN号0167-9473
英文摘要A new Q-Q plot is developed to detect non-multinormality based on Student's t-statistic. Approximate acceptance regions, which are derived from the theory of quantile processes and Monte Carlo simulation, are suggested for use together with the Q-Q plot in applications. The acceptance regions associated with the Q-Q plots for real data enhance the interpretability of the plots, and can be recommended for use together with other graphical methods and analytical methods for testing multinormality. (C) 1999 Elsevier Science B.V. All rights reserved.
WOS研究方向Computer Science ; Mathematics
语种英语
WOS记录号WOS:000079125700004
出版者ELSEVIER SCIENCE BV
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/14303]  
专题中国科学院数学与系统科学研究院
作者单位1.Hong Kong Baptist Univ, Dept Math, Hong Kong, Hong Kong
2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
3.Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA 90095 USA
4.Univ Calif Los Angeles, Dept Stat, Los Angeles, CA 90095 USA
推荐引用方式
GB/T 7714
Liang, JJ,Bentler, PM. A t-distribution plot to detect non-multinormality[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,1999,30(1):31-44.
APA Liang, JJ,&Bentler, PM.(1999).A t-distribution plot to detect non-multinormality.COMPUTATIONAL STATISTICS & DATA ANALYSIS,30(1),31-44.
MLA Liang, JJ,et al."A t-distribution plot to detect non-multinormality".COMPUTATIONAL STATISTICS & DATA ANALYSIS 30.1(1999):31-44.

入库方式: OAI收割

来源:数学与系统科学研究院

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