Evaluation of the performance of stopping rules in sequential analysis
Project/Area Number |
20540102
|
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 | Akita University |
Principal Investigator |
UNO Chikara 秋田大学, 教育文化学部, 教授 (20282155)
|
Co-Investigator(Kenkyū-buntansha) |
HIRATA Kentaro 秋田大学, 教育文化学部, 准教授 (30399795)
SUZUKI Masaaki 秋田大学, 教育文化学部, 准教授 (70431616)
|
Project Period (FY) |
2008 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
|
Keywords | 二段階法 / 逐次推定 / 漸近有効性 / リグレット / 統計数学 / 漸近一致性 / 区間推定 / 停止規則 / 逐次解析 |
Research Abstract |
There are some problems of statistical inference for which no procedures of fixed sample size are available. For example, the problem of constructing fixed-width confidence interval for the mean of a population with confidence level 95% corresponds to it. For this case, we can solve the problem by means of a sequential sampling method where the size of sample is randomly given. In this research, we considered the problem of evaluating the performance of two-stage estimation procedure, provided the unknown variance has the known lower bound, and established a theory which gives more exact evaluation than precedent research.
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Report
(6 results)
Research Products
(24 results)