| Project/Area Number |
26880011
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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 | The Institute of Statistical Mathematics (2015)
Osaka University (2014) |
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Principal Investigator |
Hirose Masayo 統計数理研究所, 大学共同利用機関等の部局等, 助教 (30739199)
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| Research Collaborator |
Partha Lahiri University of Maryland at College Park, JPSM, Professor
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| Project Period (FY) |
2014-08-29 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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 | 小地域推定 / EBLUP / 予測誤差 / 予測精度 / 線形混合モデル |
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| Outline of Final Research Achievements |
We have developed empirical best linear unbiased prediction approach (EBLUP) in small area estimation, both views from the perspective of point and interval estimation.
Firstly, we compared performances among certain EBLUPs have proposed recently. Secondly, our previous method for avoiding unrealistic predictive value applied to more general model than that of previous study was achieved in term of point estimation. Moreover, we also proposed new EBLUPs not only for the estimation of the mean squared error of EBLUP but also for the confidence interval.
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