Statistical approaches to selection problems
Project/Area Number |
21540138
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
General mathematics (including Probability theory/Statistical mathematics)
|
Research Institution | Kumamoto University |
Principal Investigator |
TAKADA Yoshikazu 熊本大学, 大学院・自然科学研究科, 教授 (70114098)
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
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 / Indiference-zone approach / 信頼区間 / 多変量正規分布 / Indifference-zone approach / コントロール / 二段階選択法 / 標準値 / 多段階選択法 |
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
|
Report
(4 results)
Research Products
(16 results)