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Title: 水文統計解析における確率分布モデルの評価
Other Titles: EVALUATION OF PROBABILITY DISTRIBUTION MODELS IN HYDROLOGIC FREQUENCY ANALYSIS
Authors: 宝, 馨  kyouindb  KAKEN_id
高棹, 琢馬  KAKEN_name
清水, 章  KAKEN_name
Author's alias: TAKARA, Kaoru
TAKASAO, Takuma
SHIMIZU, Akira
Issue Date: 1-Apr-1987
Publisher: 京都大学防災研究所
Journal title: 京都大学防災研究所年報. B = Disaster Prevention Research Institute Annuals. B
Volume: 30
Issue: B-2
Start page: 283
End page: 297
Abstract: The anthors emphasizes the necessity for considering the variability of the estimate ofT-year event in hydrologic frequency analysis and proposes a framework for evaluatingprobability distribution models. The variability (or estimation error) of T-year event is usedas a criterion for model evaluation as well as three goodness-of-fit criteria (SLSC, MLL, and AIC) in the framework. The jackknife and the bootstrap methods play important rolesin estimating the variability. For the annual maxima of k-day precipitation (k=1, 2, 3) inthe Lake Biwa basin, the Gumbel distribution is regarded as the best among five distributionmodels with two parameters; for the daily precipitation at Osaka, the SQRT-exponential-typedistribution of maximum is the best among ten distributions with two or three parameters.The bootstrap method also reveals the relationship between the amount of data and theestimation error of T-year event.
URL: http://www.dpri.kyoto-u.ac.jp/nenpo/nenpo.html
URI: http://hdl.handle.net/2433/72035
Appears in Collections:No.30 B-2

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