Ref:https://onlinecourses.science.psu.edu/stat464/print/book/export/html/14 估计CDF The Empirical CDF 绘制empirical cdf的图像: x = c(4, 0, 3, 2, 2) plot.ecdf(x) Kolmogorov-Smirnov test testing the "sameness" of two independent samples from a continuous…
# Chinese translations for R package # Copyright (C) 2005 The R Foundation # This file is distributed under the same license as the PACKAGE package. # 陈斐 <feic@normipaiva.com>, 2006. # 邓小冬 DENG Xiaodong <xd_deng@hotmail.com>, 2015. # msgid &qu…
K-S test, test for the equality of continuous, one-dimensional probability distribution that can be used to compare a sample with a reference probability distribution, or to compare two samples. paper: Unobservable Re-authentication for Smartphones h…
Let \(X_1,X_2,\ldots,X_n\) be independent random variables. Denote \[S_n=\sum_{i=1}^n X_i.\] The well known Kolmogrov inequality can be stated as for all \(\varepsilon> 0\) \[P\left(\max_{1\le j\le n}|S_j|\ge \varepsilon\right)\le\frac{Var(S_n)}{\va…
Warning message: In ks.test(x, y) : p-value will be approximate in the presence of ties The warning messages are due to the implementation of the KS test in R, which expects a continuous distribution and thus there should not be any identical value…
KS检验统计量的扩展应用 KS(Kolmogorov-Smirnov)检验是比较两个经验分布之间是否存在差异. 我们设X1, X2,-, Xm, Y1, Y2,-, Ym为两个独立随机样本,分别满足假设A1和A2,分布函数分别为F, G.现在我们想知道的是X和Y的概率分布之间是否存在差异,我们建立以下假设 H0:F(t) = G(t), for every t H1:F(t) ≠ G(t), for at least one t 接下来我们要计算双边双样本统计量J 首先我们需要获得X,Y样本…
出处:http://blog.csdn.net/euler1983/article/details/5959622 算法优化algorithmgraphtree任务 这篇文章说的是Yuri Boykov and Vladimir Kolmogorov在2004年提出的一种基于增广路径的求解最大流最小割的算法,号称大部分情况下会很快.而且在算完之后,会自动完成最小割集的构造. 作者写了一个C的实现:http://vision.csd.uwo.ca/code/maxflow-v3.01.zip 文章…
# -*- coding: utf-8 -*- import pandas as pd from sklearn.grid_search import GridSearchCV from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.utils import shuffle import numpy as np from s…
