2013 Fiscal Year Final Research Report
Development of new stratified estimators that incorporate prior and auxiliary information for estimating population characteristics and its applications
Project/Area Number |
23700339
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Statistical science
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Research Institution | Oita University |
Principal Investigator |
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Project Period (FY) |
2011 – 2013
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Keywords | キャリブレーション / 層別無作為抽出 / 事前情報 / 補助変数 |
Research Abstract |
In various research areas, sample surveys based on the stratified random sampling are often conducted to estimate population characteristics. We can obtain more effective estimators, such as ratio, regression, and calibration estimators, than usual unbiased estimators by incorporating auxiliary variables. On the other hand, it is often the case that we have prior information on population characteristics since sample surveys are often regularly conducted. In this research, we developed more effective estimators by using not only auxiliary variables but also prior information.
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