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A t-distribution plot to detect non-multinormality
Liang, JJ; Bentler, PM
1999-03-28
发表期刊COMPUTATIONAL STATISTICS & DATA ANALYSIS
ISSN0167-9473
卷号30期号:1页码:31-44
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.
关键词graphical methods Q-Q plot testing multinormality
语种英语
WOS研究方向Computer Science ; Mathematics
WOS类目Computer Science, Interdisciplinary Applications ; Statistics & Probability
WOS记录号WOS:000079125700004
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/14304
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
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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.
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