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  1. 060 工学部
  2. 0602 紀要
  3. 06021 信州大学工学部紀要
  4. Vol. 69

月降水量に適した情報の与え方と2変数最大エントロピー分布

http://hdl.handle.net/10091/2897
4e86800c-0290-49fc-ab8d-bdde19c73fbd
名前 / ファイル ライセンス アクション
Engineering69-03.pdf Engineering69-03.pdf (795.0 kB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2009-03-30
タイトル
タイトル 月降水量に適した情報の与え方と2変数最大エントロピー分布
言語
言語 jpn
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
その他(別言語等)のタイトル
その他のタイトル Methods for Obtaining Suitable Information for Monthly Precipitation and 2-Variable Maximum Entropy Distributions
著者 寒川, 典昭

× 寒川, 典昭

WEKO 39377

寒川, 典昭

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荒木, 正夫

× 荒木, 正夫

WEKO 39378

荒木, 正夫

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清水, 克彦

× 清水, 克彦

WEKO 39379

清水, 克彦

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信州大学研究者総覧へのリンク
氏名 寒川, 典昭
URL http://soar-rd.shinshu-u.ac.jp/profile/ja.WVLaZVkh.html
出版者
出版者 信州大学工学部
引用
内容記述タイプ Other
内容記述 信州大学工学部紀要 69: 25-40 (1991)
書誌情報 信州大学工学部紀要

巻 69, p. 25-40, 発行日 1991-09-30
抄録
内容記述タイプ Abstract
内容記述 Methods for obtaining optimum information for a 2-variable maximum entropy distribution (2MED) were examined to estimate the hydrologic variable for the design of a water-supply system between two basins. Information consisting of statistical moments, and combined information of statistical moments and the expectations of an exponential function were tested with a set of rainfall data in Nagano, Nagoya and Tokyo. The goodness-of-fit (Log-likelihood,Akaike's information criterion and histogram) and stability of the return period were used as evaluation criteria in selecting suitable information. Though the 2M(x², exp(-4x / Mx), y², exp(-4y / My), xy) distribution for combined information ranked first in terms of goodness-of-fit, it did not provide good stability of the return period because it exhibits a sensitive reaction with regards to removed data. The 2M(x, x², y, y², xy) distribution for statistical moments only showed excellent results for both evaluation criteria. Therefore, it was judged from these results that the 2M(x, x², y, y², xy) distribution was the optimum distribution for the data set used in this investigation.
資源タイプ(コンテンツの種類)
内容記述タイプ Other
内容記述 Article
ISSN
収録物識別子タイプ ISSN
収録物識別子 0037-3818
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00121228
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