非参数统计 meaning in English
distribution free statistics
non parametric statistics
nonparametic statistics
nonparametric statistics
parameter free statistics
parameter-free statistics
parametric statistics
Examples
- Rank test is a simple and practical " , method of non - parametric statistics based on rank statistics , which is a kind of statistics based on ranks
秩检验是基于秩统计量的一种简单实用的非参数统计方法，秩统计量是基于秩的统计量。 - With the answer of one step prediction , a creative interval prediction is got by the applied of non - parameter statistics method . point prediction pay attention to prediction precision while interval prediction to reliability
运用非参数统计的方法，作出混沌时间序列在特定概率限的区间预测，弥补了传统点预测的不足，使预测的适用性得以提高。 - The targets " time serial is provided by radar ' s narrow - band signal . from analyzing the characteristic of rcs time serial , we can judge the targets " gesture by adopting run - test algorithm which is from nonparametric statistic theory
雷达窄带测量可以提供目标rcs时间序列信息，通过分析rcs时间序列，应用非参数统计理论中的游程检验算法可以实现目标的姿态进行判断。 - Using the data of first national economic census of 2004 , the authors employ the cluster analysis , non - parameter statistics and function of production to analyze the characteristics of health care industry as well as the regional distribution of health institutions , reveal all the factors of health investments affecting gdp , indicate the relationship between health care industry and regional economic development
本文利用2004年第一次全国经济普查的数据资料,从中国卫生行业的发展现状出发,利用聚类分析、非参数统计、生产函数等方法,对卫生行业发展规模与结构、从业人员文化素质、企业法人卫生单位与事业法人卫生单位发展特点、卫生机构的地区分布状况等进行了分析,揭示了各类卫生投入对gdp的影响因素,总结了卫生行业与区域经济发展的关系。 - There is a natural linear order relationship among the data of one - dimensional sample , so which can be ordered according to the size of the sample points , however , since there is no natural linear order relationship among data of multi - dimensional sample , it is impossible to gain multi - dimensional order statistics in accordance with the order of the size of sample , neither is it impossible to extend many useful methods for one - dimensional nonparametric oiatistics to those for high dimensional ones
对于一维样本，由于数据之间存在一种自然的线性序关系，故可按照样本的大小排序，从而得到秩向量。但对于多维样本，数据之间则不存在自然的线性序关系，无法按照样本的大小排序而得到高维样本的次序统计量并由此把一维非参数统计的许多有用的方法直接推广到高维情形，使得对多元数据的统计分析十分麻烦。