2011 Fiscal Year Final Research Report
Statistical approaches to selection problems
| Project/Area Number |
21540138
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
General mathematics (including Probability theory/Statistical mathematics)
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| Research Institution | Kumamoto University |
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Principal Investigator |
TAKADA Yoshikazu 熊本大学, 大学院・自然科学研究科, 教授 (70114098)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 最良母集団の選択 / 正規分布 / サンプルサイズ / 二段階法 / 三段階法 |
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| Research Abstract |
We often encounter the case that we must select one of several groups based on a criterion. If the selection is based on the data obtained through experiments or investigations, it refers to a selection of the best population. In this research we provided three new procedures for the following problems
1. The selection of the best population when there exists a standard or a control.
2. The selection of the best population when there exists a correlation between data
3. The estimation of the parameter after the selection of the best population
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