| Journal of Mathematics and Statistics | |
| One-Sided Multivariate Tests for High Dimensional Data | Science Publications | |
| Samruam Chongcharoen1  | |
| 关键词: DNA micro arrays; multivariate normal; one-sided multivariate test; | |
| DOI : 10.3844/jmssp.2012.274.282 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Science Publications | |
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【 摘 要 】
Problem statement: For a multivariate normal population with size smaller than dimension, n
Approach: The test statistics for one-sided multivariate hypotheses with n
Results: The simulation study showed that the proposed tests provided reasonable type I error rate for one-sided covariance structures. They also give good powers. The application of these tests was given by testing of one-sided hypotheses on DNA micro array data. Conclusion: Under that there have no such other tests available at present for this kind of hypothesis testing with n
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010160615ZK.pdf | 116KB |
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