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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. 70

情報関数が最大エントロピー分布に及ぼす影響の解析

http://hdl.handle.net/10091/3052
88552159-8845-4ea7-a385-30e058997ba6
名前 / ファイル ライセンス アクション
Engineering70-03.pdf Engineering70-03.pdf (534.9 kB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2009-05-18
タイトル
タイトル 情報関数が最大エントロピー分布に及ぼす影響の解析
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 Analysis of Effect of Information Function on Maximum Entropy Distribution
著者 寒川, 典昭

× 寒川, 典昭

WEKO 39369

寒川, 典昭

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荒木, 正夫

× 荒木, 正夫

WEKO 39370

荒木, 正夫

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大原, 基秀

× 大原, 基秀

WEKO 39371

大原, 基秀

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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 70: 21-31 (1992)
書誌情報 信州大学工学部紀要

巻 70, p. 21-31, 発行日 1992-02-29
抄録
内容記述タイプ Abstract
内容記述 The effects of 4 information functions on a 1-variable maximum entropy distribution (1MED) were analyzed using simulation data from 6 assumed populations and annual maximum daily rainfall data. For this study, 6 gamma distributions with different parameters were taken as the populations and xr, 1/xr, (lnx)r and exp(- rx/ M) (M=E[X]) functions were adopted as the four information functions. The calculation results using simulation date from the 6 gamma distributions could not fit the 1MED (obtained from information functions with r=1,2) to the population satisfactorily. The combined information of xm and exp(-nx/M), or (m, n) -information, improved the fitness of the 1MED to the population in both the shape of the p. d. f. and the return period of the right tail. Furthermore, it was found that the (1,2), (1,3) and (1,4)-informations are particularly suitable for steep shaped populations having peaks in the left side, while the (1,2), (1,3), (2,3) and (2,4)-informations are best for flat form populations exhibiting peak shifts to the lower right. These 5 types of 1MEDs gave the most stable and realistic return periods for annual maximum daily rainfalls measured in the Nagano prefecture.
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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