Kolmogorov-Smirnov analysisClosed-form expressionsS-Box differential uniformityConstrained S-Box searchWe find mathematically optimal side-channel distinguishers by looking at the side-channel as a communication
地址如下:http://www.physics.csbsju.edu/stats/KS-test.n.plot_form.html 当然还有更多的软件支持这个统计,如SPSS,SAS,MiniAnalysis,Clampfit10 根据软件统计出来后给出的结果决定有没有显著性差异,如果Dmax值>D0.05。则认为有显著性差异。D0.05的经验算法:1.36/SQRT(N) 其中SQRT为平方要,N为样本数。D0.01经...
性检验 Lilliefortest检验:是基于Kolmogorov-Smirnovtest的一种正态性检验。...方差分析 方差分析(Analysis of variance, ANOVA) :主要研究分类变量作为自变量时,对因变量的影响是否是显著的。方差分析主要通过F检验来进行效果测评。 方差分析实质:检验 KS值 ...
Analysis Results Troubleshoot Jobs Pre-training Data Bias Pre-training Bias Metrics Class Imbalance (CI) Label Imbalance (DPL) Kullback-Leibler Divergence (KL) Jensen-Shannon Divergence (JS) Lp-norm (LP) Total Variation Distance (TVD) Kolmogorov-Smirnov (KS) Conditional Demographic Disparity (CDD)...
A two-way repeated-measures multivariate analysis of variance (RM-MANOVA) was used to test the effect of main factors wetland type, climate scenario, and their interactions on physicochemical parameter changes over time. The normality of data was assessed using the Kolmogorov–Smirnov test. Data we...
Heuser, A., Rioul, O., Guilley, S.: A theoretical study of kolmogorov-smirnov distinguishers--side-channel analysis vs. differential cryptanalysis. In: Prouff, E. (ed.) Constructive Side- Channel Analysis and Secure Design--5th International Work- shop, COSADE 2014, Paris, France, 13-15...
Friedman公式: Friedman检验自由度证明: 论文题目:The use of ranks to avoid the assumption of normality implicit in the analysis of variance... 马尔可夫链-Chapman-Kolmogorov方程及其n步转移概率矩阵 版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/makenothing/article/details/...
热度: Kolmogorov-SmirnovNormalityTest (DataAnalysisTaskForce) IanHoogendam IEEEJTCM January15 th ,2014 1 Kolmogorov-SmirnovNormalityTest •Kolmogorov-Smirnov(KS)canbeusedtotest normalityofdata •Tested1-5yearsofdataforallcompanieswho allowedadditionalstudies ...
Lopes, R.H.C., Reid, I., Hobson, P.R. (2007) "The two-dimensional Kolmogorov-Smirnov test". XI International Workshop on Advanced Computing and Analysis Techniques in Physics Research (April 23–27, 2007) Amsterdam, the Netherlands. [3] ...
Medical Image Analysis Book2024, Medical Image Analysis Gonzalo Vegas Sánchez-Ferrero, Carlos Alberola-López Explore book 4.2.2 The Kolmogorov–Smirnov test The Glivenko–Cantelli theorem proves that the ECDF is a powerful tool to describe the underlying distribution of a physical phenomenon just by...