| Project/Area Number |
11680332
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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 |
Statistical science
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| Research Institution | The Institute of Statistical Mathematics |
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Principal Investigator |
KASHIWAGI Nobuhisa Dept. of Statistical Methodology, Assoc. Prot., 調査実験解析研究系, 助教授 (50150032)
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| Project Period (FY) |
1999 – 2002
|
| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 2002: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 2001: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 2000: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1999: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Keywords | Bayes / state-space / space-time analysis / seasonal adjustment / CMB / remote sensing / water quality / dioxins / ベイズの定理 / 尤度 / 東京湾の水質 / ダイオキシン類 / 浮遊粒子状物質 / Chemical Mass Balance / 状態空間法 / 東京湾 / 熱帯降雨観測衛星 / ヒートアイランド / 時空間 / 環境 / 遺伝子 / 熱帯降雨 |
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| Research Abstract |
Several statistical methods have been developed to analyze actual data, which include measurements of water quality in Tokyo Bay, measurements of concentrations of dioxins in environment, measurements of the precipitation radar of Tropical Rainfall Measuring Mission, animal genome and some epidemiological data.
1. A Bayesian space-time seasonal adjustment method was developed to analyze Tokyo Bay pollution data. The method revealed characteristics of space-time variation of water quality in Tokyo Bay including water temperature, salinity, COD, DO, nitrogen and phosphor.
2. To estimate source contributions to concentrations of dioxins bi various environmental media, a Chemical Mass Balance method was developed based on functional relationship analysis. The method was applied to several data sets.
3. A generalized method was developed to derive a raindrop size distribution model over a space domain.
4. A Bayesian method to predict gene location in animals was developed using linkage map of mouse.
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