摘要
为解决变量存在误差情况下的回归问题,运用统计试验方法对正交回归法在插补展延短系列水文资料的适用条件进行了研究。结果表明：参证站与设计站系列的离势系数比值为0.5~1.5时,正交回归方法的有利插补条件为0.6≤CS x/CS y≤1.7,参证站与设计站系列的最小相关系数为0.55。
To solve the existing errors in variables about regression problems,the statistical experiment method was used to research the applicable conditions of orthogonal regression method in interpolate and extrapolate the hydrologic data. Under the conditions of the coefficient of variation ratio is between 0. 5 and 1. 5,the results show that the favorable interval of coefficient of skewness ratio is 0. 6~1. 7 and the minimum value of correla-tion coefficient is 0. 55.
出处
《人民黄河》
CAS
北大核心
2014年第12期16-18,共3页
Yellow River
关键词
统计试验
偏态系数
离势系数
正交回归
插补展延
水文系列
Mont-Carlo experiments
coefficient of skewness
coefficient of variation
orthogonal regression method
interpolation and extrapolation
hydrologic series
