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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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥2,740,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2009: ¥900,000 (Direct Cost: ¥900,000)
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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 / ジャックナイフ推定 / ブートストラップ法 / ノンパラメトリックス / エッジワース展開 / U-統計量 / 確率点推定 / ジャックナイフ法 / 漸近平均二乗誤差 / 相関係数 / 高次モーメント / 正規化変換 |
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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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Report
(4 results)
Research Products
(20 results)
