Source: Sigma Zone, by Philip Mayfield The Binomial Distribution is commonly used in statistics in a variety of applications. Binomial data and statistics are presented to us daily. For example, in the election of political officials we may be asked…

Confidence Intervals for One Population Mean When σ Is Known Obtaining Confidence Intervals for a Population Mean When σ Is Known The z-interval procedure works reasonably well even when the variable is not normally distributed and the sample size is…

For research purpose, I've read a lot materials on permutation test issue. Here is a summary. Should be useful. Still, thanks for contributors online. P value calculation Because the actual value is one of those permutations, I would like to change t…

title: [概率论]5-2:伯努利和二项分布(The Bernoulli and Binomial Distributions) categories: - Mathematic - Probability keywords: - Bernoulli Distributions - Binomial Distributions toc: true date: 2018-03-27 21:15:22 Abstract: 本文介绍Bernoulli Distribution (伯努利分布)和Bi…

frequentism-and-bayesianism-chs-ii 频率主义 vs 贝叶斯主义 II:当结果不同时   这个notebook出自Pythonic Perambulations的博文 . The content is BSD licensed.   这个系列共4个部分:中文版Part I Part II Part III Part IV,英文版Part I Part II Part III Part IV   在上一篇我论述了频率主义和贝叶斯主义在科学计算方面的差异.其中,讨论了…

# 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…

1. C4.5算法简介 C4.5是一系列用在机器学习和数据挖掘的分类问题中的算法.它的目标是监督学习:给定一个数据集,其中的每一个元组都能用一组属性值来描述,每一个元组属于一个互斥的类别中的某一类.C4.5的目标是通过学习,找到一个从属性值到类别的映射关系,并且这个映射能用于对新的类别未知的实体进行分类. C4.5由J.Ross Quinlan在ID3的基础上提出的.ID3算法用来构造决策树.决策树是一种类似流程图的树结构,其中每个内部节点(非树叶节点)表示在一个属性上的测试,每个分枝代表一个测…

scipy.stats Scipy的stats模块包含了多种概率分布的随机变量,随机变量分为连续的和离散的两种.所有的连续随机变量都是rv_continuous的派生类的对象,而所有的离散随机变量都是 rv_discrete的派生类的对象. This module contains a large number of probability distributions as well as a growing library of statistical functions. Each univ…

T distribution 定义 在概率论和统计学中,学生t-分布(t-distribution),可简称为t分布,用于根据小样本来估计 呈正态分布且方差未知的总体的均值.如果总体方差已知(例如在样本数量足够多时),则应该用正态分布来估计总体均值. In probability and statistics, Student's t-distribution (or simply the t-distribution) is any member of a family of continuo…

Common sense reduced to computation - Pierre-Simon, marquis de Laplace (1749–1827) Inventor of Bayesian inference 贝叶斯方法的逻辑十分接近人脑的思维:人脑的优势不是计算,在纯数值计算方面,可以说几十年前的计算器就已经超过人脑了. 人脑的核心能力在于推理,而记忆在推理中扮演了重要的角色,我们都是基于已知的常识来做出推理.贝叶斯推断也是如此,先验就是常识,在我们有了新的观测数据后,就可以…