期刊论文详细信息
| Journal of Mathematics and Statistics | |
| Inversion of Covariance Matrix for High Dimension Data | Science Publications | |
| Samruam Chongcharoen1  | |
| 关键词: DNA micro arrays; eigenvalue; positive semidefinite; positive definite; gene expression; covariance matrix; statistic value; real vector; real number; determinant; symmetric matrix; definite matrix; | |
| DOI : 10.3844/jmssp.2011.227.229 | |
| 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: In the testing statistic problem for the mean vector of independent andidentically distributed multivariate normal random vectors with unknown covariance matrix when thedata has sample size less than the dimension n≤p, for example, the data came from DNA microarrayswhere a large number of gene expression levels are measured on relatively few subjects, the p
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010160555ZK.pdf | 40KB |
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