2011 Fiscal Year Final Research Report
Improvement of practical inference using statistical resampling method and higher order asymptotic theory
| Project/Area Number |
21650065
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | Kyushu University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Keywords | ノンパラメトリック推測 / カーネル法 / 高次漸近理論 / リサンプリング法 |
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| Research Abstract |
We obtain new precise methods for statistical inference, using higher order properties of kernel type estimator and statistical resampling. These results are all new and very useful to make a decision based on data. Also the new methods give us basic tool for theoretical study of nonparametric inference.
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