Normality test and celection of multivariate model for high-dimension data
| Project/Area Number |
25880017
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | Tokyo University of Science |
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Principal Investigator |
ENOMOTO Rie 東京理科大学, 理学部, 助教 (30711767)
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| Project Period (FY) |
2013-08-30 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 多変量解析 / 高次元データ / 統計科学 |
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| Outline of Final Research Achievements |
Our studies are normality test statistics and information criteria for growth curve model. For growth curve model, we proposed the information criteria under high-dimension or under both group and sample size is large. We discussed consistency properties many information criteria, respectively. Our results are checked numerically by conducting a Monte Carlo simulation.
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Report
(3 results)
Research Products
(6 results)
