2016 Fiscal Year Final Research Report
Study on robust statistical hypothesis testing procedures in high-dimensional settings
| Project/Area Number |
26730020
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
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| Research Institution | Senshu University |
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Principal Investigator |
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| Research Collaborator |
HYODO Masashi
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | 仮説検定 / 多重比較 / 高次元漸近理論 / 高次元データ |
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| Outline of Final Research Achievements |
In this study, we discussed the statistical hypothesis testing for mean vector and for covariance structure in high-dimensional settings. In particular, we derived some results concerning with following 3 topics. 1. Statistical hypothesis testing for mean vector in high-dimensional settings. 2. Multivariate multiple comparisons among mean vector for high-dimensional data under non-normality. 3. Statistical hypothesis testing for covariance structure in high-dimensional settings.
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| Free Research Field |
統計学
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