Status | 已发表Published |
Title | A t -distribution plot to detect non-multinormality |
Creator | |
Date Issued | 1999 |
Source Publication | Computational Statistics and Data Analysis
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ISSN | 0167-9473 |
Volume | 30Issue:1Pages:31-44 |
Abstract | 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. © 1999 Elsevier Science B.V. |
Keyword | 6209 62G10 62H15 Graphical methods Q-Q plot Testing multinormality |
DOI | 10.1016/S0167-9473(98)00085-1 |
Indexed By | SCIE |
Language | 英语English |
WOS Research Area | Computer Science ; Mathematics |
WOS Subject | Computer Science, Interdisciplinary Applications ; Statistics & Probability |
WOS ID | WOS:000079125700004 |
Citation statistics | |
Document Type | Journal article |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/3363 |
Collection | Research outside affiliated institution |
Affiliation | 1.Department of Mathematics, Hong Kong Baptist University, Hong Kong, Hong Kong 2.Institute of Applied Mathematics, Chinese Academy of Sciences, 100080, Beijing, China 3.Depts. of Psychology and Statistics, University of California, Box 951563, Los Angeles, CA 90095-1563, United States |
Recommended Citation GB/T 7714 | Liang, Jiajuan,Bentler, Peter M. A t -distribution plot to detect non-multinormality[J]. Computational Statistics and Data Analysis, 1999, 30(1): 31-44. |
APA | Liang, Jiajuan, & Bentler, Peter M. (1999). A t -distribution plot to detect non-multinormality. Computational Statistics and Data Analysis, 30(1), 31-44. |
MLA | Liang, Jiajuan,et al."A t -distribution plot to detect non-multinormality". Computational Statistics and Data Analysis 30.1(1999): 31-44. |
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