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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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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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 / 漸近理論 / 高次元漸近論 |
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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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Report
(4 results)
Research Products
(24 results)
