1) Pseudo F-Statistics
伪F统计量
1.
In addition,we have also introduced pseudo F-statistics,on the one hand,some of the overlapping points in space realizes effective classification;on the other hand,it can give the best clustering number,thereby making up for the shortage of k-modes clustering method.
另外,还引入了伪F统计量,一方面,可以对空间中有部分重叠的点进行有效的分类;另一方面,可以给出最佳聚类数目,从而弥补了k-modes聚类法的不足。
2) fuzzy pseudo F-statistic
Fuzzy伪F统计
3) F-statistic
F-统计量
1.
Supposing that the effectiveness of different safety measures has abstract function relation,the function was extended into power series by normalization,introduced all possible mathematical relativity,and eliminated redundant relativity by F-statistic and Gram-Schmidt orthography algorithm.
为了得到信息系统安全措施有效性的评估模型,研究不同的安全措施对抗某一风险的相关性,在假设不同安全措施对抗某一风险的有效性存在(抽象)函数关系的前提下,通过归一化处理展开成级数,引进所有可能的数学意义上的相关性表示,然后根据Gram-Schmidt正交化、F-统计量等这些数学工具结合回归分析的方法逐步剔除冗余相关性,进而得到最终的安全措施有效性评估模型,这比传统的线性评估模型具有更高的精度。
2.
In the prediction of time series by using the periodic extrapolation of the variance analysis,and in double-test stepwise regression prediction,or in other analysis of related problems,there is a need to find the maximum from the F-statistics of several factors to be F-tested significant.
在时序方差分析周期外推预测、双重检验逐步回归预测及其他相关问题的分析中,需要从若干因子的F-统计量中选取最大值进行F-检验来确定这类问题的显著性。
3.
Established a method evaluating the fuzzy cluster validity with F-statistics of multivariable statistics and changing levels of significance,and constructed a Validity funtction of cluster with the minimal level of significance.
在模糊聚类分析中,引入多元分析中的F-统计量和变化的显著性水平,用其评价模糊聚类的有效性,并用分类的F-统计量满足最小显著性水平的F检验构造了分类的有效性函数,在此基础上给出求有效分类的优化模型和模型的求解方法。
4) F statistics
F统计量
1.
According to the theory of difference analysis in statistics and entropy theory in information theory, two functions-F statistics and fuzzy division entropy were constructer, the F statistics was mainly used to determine the optimal division number and the fuzzy division entropy was used to verify the validity of division.
首先在常规的Bezdek模糊划分模型的基础上,引入了考虑权重的模糊划分模型;并根据数理统计中的方差分析理论和信息论中的信息熵理论,构建了模糊F统计量、模糊划分熵,F统计量用来确定最佳划分数,模糊划分熵用来检验模糊划分的有效性。
2.
Sliding window least square method is used with U statistics and F statistics to quantitatively analyze the variance of innovations.
通过使用滑窗最小二乘法和U统计量、F统计量对新息的符号及方差变化进行定量分析,实时辨识出Kalman滤波器所处的工作状态。
5) F-statistics
F-统计量
1.
Using the information of F-statistics,GST,gene flow(Nm),DS genetic distances,the genetic structure and differentiation were evaluated.
利用25对微卫星标记研究了江西4个家鹅资源群体(莲花白鹅、兴国灰鹅、广丰白翎鹅和丰城灰鹅)的遗传结构及遗传分化,通过计算F-统计量、基因分化系数和基因流等参数,评估了各群体间遗传结构与分化。
2.
Pointing to the optimal category for comprehensive water use level in a river basin,the paper put forward a knew method used a multi-statistical analysis F-statistics and significant change level for the research of optimization category and established a way to seek the optimal classification.
针对流域综合用水水平进行最优分类的问题,提出了一种利用多元统计分析的F-统计量和变化的显著性水平的新方法,用其进行最优化分类的研究,构造了一种寻求最优分类的方法来寻求最优阈值。
3.
The clustering scheme with the largest F-statistics is chosen.
选择具有最大F-统计量的划分聚类方案。
补充资料：分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条