日本リスク研究学会誌
Online ISSN : 2185-4548
Print ISSN : 0915-5465
ISSN-L : 0915-5465
原著論文
時間的・空間的な変動性 Vおよび推定の不確実性 Uを解析する
階層ベイズモデルによる不検出値を含む環境中濃度データの解析
林 岳彦柏木 宣久
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ジャーナル フリー

2009 年 19 巻 1 号 p. 1_47-1_54

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抄録
We presented a statistical approach employing the hierarchical bayesian approach to analyze environmental monitoring data set containing non-detected observations. The advantages of the presented method are as follows: (1) the method is applicable to data set containing non-detected observations. (2) Uncertainties in parameter estimation are quantitatively analyzed based on posterior distributions. (3) Temporal and spatial variations in the environmental concentrations are separately analyzed and quantified. (4) Distribution of the environmental concentrations in a particular monitoring site in which few monitoring data are available can be predicted based on information from all monitoring sites. (5) Analysis can be implemented by a commonly-used freeware and a simple programming code.
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© 2009 一般社団法人日本リスク研究学会
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