| Co-Investigator(Kenkyū-buntansha) |
NISHII Ryuei 九州大学, マス・ファオ・インダストリ研究所, 教授 (40127684)
KONISHI Sadanori 中央大学, 理工学部, 教授 (40090550)
SAGAE Masahiko 金沢大学, 経済学経営学系, 教授 (20215669)
FUJII Yoshinori 宮崎大学, 教育文化学部, 教授 (10218985)
NINOMIYA Yoshiyuki 九州大学, マス・ファオ・インダストリ研究所, 准教授 (50343330)
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| Budget Amount *help |
¥14,560,000 (Direct Cost: ¥11,200,000、Indirect Cost: ¥3,360,000)
Fiscal Year 2013: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2011: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2010: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2009: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
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| Research Abstract |
In this project, we obtain an higher order asymptotic properties for statistical inference based on resampling methods, which use the data repeatedly. We also obtain approximations of distribution functions of kernel type estimators, and applying these results, we propose new nonparametric test statistics. Furthermore, we develop an inference method based on Gaussian basic functions, which we can apply to non-linear complex systems. The non-linear regression model is studied precisely, and we obtain a flexible method which improve accuracy of statistical inferences for state space data.
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