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水文時系列の平均値と分散のジャンプ検出および異常値の非異常値化
https://kitami-it.repo.nii.ac.jp/records/8105
https://kitami-it.repo.nii.ac.jp/records/8105d70f5886-51a7-4943-8562-f210251b7db5
名前 / ファイル | ライセンス | アクション |
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2008_水文時系列の平均値と分散のジャンプ検出および異常値の非異常値化.pdf (169.0 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2016-03-11 | |||||
タイトル | ||||||
言語 | ja | |||||
タイトル | 水文時系列の平均値と分散のジャンプ検出および異常値の非異常値化 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | DETECTION OF MEAN AND VARIANCE JUMP AND NORMALIZATION OF OUTLIER IN HYDROLOGICAL TIME SERIES | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Jump detection, power of test | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Student’s t test | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | F test | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Mann-Whitney test | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | bootstrap test | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | normalization of outlier | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
その他のタイトル | ||||||
その他のタイトル | DETECTION OF MEAN AND VARIANCE JUMP AND NORMALIZATION OF OUTLIER IN HYDROLOGICAL TIME SERIES | |||||
著者 |
佐渡, 公明
× 佐渡, 公明× 中尾, 隆志× 杉山, 一郎 |
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著者別名 | ||||||
姓名 | SADO, Kimiteru | |||||
言語 | en | |||||
著者別名 | ||||||
姓名 | NAKAO, Takashi | |||||
言語 | en | |||||
著者別名 | ||||||
姓名 | SUGIYAMA, Ichiro | |||||
言語 | en | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | A non-stationary time series is composed of the trend and some jumps by the change of a mean value and a variance. There is no study example which has dealt with the power of test for a jump of variance in a hydrological time series. In this paper, the Monte Carlo simulations are applied to compare the power of the statistical tests: Student’s t test, F test, Mann-Whitney test and bootstrap test to assess the significance of jumps to affect the mean value and the variance of a time series with Normal , Logarithm Normal and General Extreme Value distributions. And also, the outliers in the annual maximum daily rainfall (MDR) and annual maximum non-rainfall days (NRD) data of each 22 meteorological observatories in Hokkaido are detected at Tomakomai and Hiroo for MDR data, and at Esashi for NRD data, respectively. Then the normalized conditions to change these three outliers into normal values are introduced by using a numerical simulation. |
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書誌情報 |
水工学論文集 巻 52, p. 211-216, 発行日 2008-02 |
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DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | http://doi.org/10.2208/prohe.52.211 | |||||
権利 | ||||||
権利情報 | c2008 公益社団法人 土木学会 | |||||
出版者 | ||||||
出版者 | 公益社団法人 土木学会 | |||||
著者版フラグ | ||||||
値 | publisher | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |