INTRODUCING A STATISTICAL HYPOTHESIS TESTING INTO SLSC GOODNESS-OF-FIT EVALUATION FOR HYDROLOGICAL FREQUENCY ANALYSIS MODELS
INTRODUCING A STATISTICAL HYPOTHESIS TESTING INTO SLSC GOODNESS-OF-FIT EVALUATION FOR HYDROLOGICAL FREQUENCY ANALYSIS MODELS
复制标题
将统计假设检验引入 SLSC 水文频率分析模型拟合优度评估
DOI：
10.2208/jscejhe.68.i_1381
复制
发表时间：
2012
影响因子：
--
通讯作者：
Sunmin Kim
中科院分区：
文献类型：
--
作者：
Hiromasa Hayashi;Y. Tachikawa;M. Shiiba;K. Yorozu;Sunmin Kim
水文频率模型的拟合优度评价在日本得到广泛应用。作为SLSC拟合优度评价的临界值，通常使用0.03。然而，临界值被认为是一个变量，这取决于水文数据的样本大小和水文频率模型。在这项研究中，SLSC的统计特征进行了检查。在此基础上，将统计假设检验引入水文频率分析模型的SLSC拟合优度评价中。
A goodness-of-fit evaluation for hydrologic frequency models using SLSC (Standard Least Squares Criterion) is widely used in Japan. As the critical value to the SLSC goodness-of-fit evaluation, 0.03 is usually used. However, the critical value is recognized as a variable depending on a sample size of hydrologic data and a hydrologic frequency model. In this study, statistical characteristics of SLSC is examined. Then, based on the analysis, a statistical hypothesis testing is introduced into the SLSC goodness-of-fit evaluation for hydrological frequency analysis models.